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#iclr — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #iclr, aggregated by home.social.

  1. Benjamin Han @[email protected] ·

    A multi-agent LLM where each agent learns when to defer to a human, trained with GRPO on a cost-aware reward. Each defer event becomes SFT data, so the model gradually absorbs the human's expertise. Tunable cost knob trades accuracy against human-call budget at deployment, no retraining.

    benjaminhan.net/posts/20260520

    #ICLR #HumanInTheLoop #AgenticSystems #Metacognition #RL #AI

    #iclr #humanintheloop #agenticsystems #metacognition #rl #ai
  2. Benjamin Han @[email protected] ·

    A multi-agent LLM where each agent learns when to defer to a human, trained with GRPO on a cost-aware reward. Each defer event becomes SFT data, so the model gradually absorbs the human's expertise. Tunable cost knob trades accuracy against human-call budget at deployment, no retraining.

    benjaminhan.net/posts/20260520

    #ICLR #HumanInTheLoop #AgenticSystems #Metacognition #RL #AI

    #iclr #humanintheloop #agenticsystems #metacognition #rl #ai
  3. Benjamin Han @[email protected] ·

    A multi-agent LLM where each agent learns when to defer to a human, trained with GRPO on a cost-aware reward. Each defer event becomes SFT data, so the model gradually absorbs the human's expertise. Tunable cost knob trades accuracy against human-call budget at deployment, no retraining.

    benjaminhan.net/posts/20260520

    #ICLR #HumanInTheLoop #AgenticSystems #Metacognition #RL #AI

    #iclr #humanintheloop #agenticsystems #metacognition #rl #ai
  4. Benjamin Han @[email protected] ·

    A multi-agent LLM where each agent learns when to defer to a human, trained with GRPO on a cost-aware reward. Each defer event becomes SFT data, so the model gradually absorbs the human's expertise. Tunable cost knob trades accuracy against human-call budget at deployment, no retraining.

    benjaminhan.net/posts/20260520

    #ICLR #HumanInTheLoop #AgenticSystems #Metacognition #RL #AI

    #ai #rl #metacognition #agenticsystems #humanintheloop #iclr
  5. Benjamin Han @[email protected] ·

    A multi-agent LLM where each agent learns when to defer to a human, trained with GRPO on a cost-aware reward. Each defer event becomes SFT data, so the model gradually absorbs the human's expertise. Tunable cost knob trades accuracy against human-call budget at deployment, no retraining.

    benjaminhan.net/posts/20260520

    #ICLR #HumanInTheLoop #AgenticSystems #Metacognition #RL #AI

    #iclr #humanintheloop #agenticsystems #metacognition #rl #ai
  6. Habr @[email protected] ·

    О чём говорили на ICLR 2026? Репортаж AIRI о поездке на конференцию в Рио

    Конференции в науке об ИИ очень любят и ждут. Подача работы на какое‑либо мероприятие из верхушки рейтинга CORE обычно престижнее, чем подача её же в журнал первого квартиля. В «большую тройку» главных конференций года принято включать NeurIPS, ICML и ICLR. Последняя обычно проходит раньше двух других — в этом году она прошла в конце апреля в Рио‑де‑Жанейро. Мы посетили ICLR 2026 вместе с коллегами из AIRI и рассказываем, чем запомнилась нашим исследователям эта командировка.

    habr.com/ru/companies/airi/art

    #iclr_2026 #iclr #искусственный_интеллект #машинное+обучение #конференция

    #конференция #машинное #искусственный_интеллект #iclr #iclr_2026
  7. Ireland @[email protected] ·

    europesays.com/ie/483750/ ‘Basically a Chinese racket’: how China streaked ahead at a global AI conference #AI #AIIndexReport #AIResearch #Alibaba #ArtificialIntelligence #ArtificialIntelligence #Bytedance #CarnegieMellonUniversity #China #ChineseUniversities #DmytroLopushanskyy #Éire #Google #HongKong #Huawei #ICLR #IE #InternationalConferenceOnLearningRepresentations #Ireland #MassachusettsInstituteOfTechnology #Meta #Technology

    #technology #meta #massachusettsinstituteoftechnology #ireland #internationalconferenceonlearningrepresentations #ie
  8. Benjamin Han @[email protected] ·

    SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.

    benjaminhan.net/posts/20260512

    #Paper #LLMs #RL #Metacognition #Reasoning #ICLR #AI

    #paper #llms #rl #metacognition #reasoning #iclr
  9. Benjamin Han @[email protected] ·

    SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.

    benjaminhan.net/posts/20260512

    #Paper #LLMs #RL #Metacognition #Reasoning #ICLR #AI

    #paper #llms #rl #metacognition #reasoning #iclr
  10. Benjamin Han @[email protected] ·

    SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.

    benjaminhan.net/posts/20260512

    #Paper #LLMs #RL #Metacognition #Reasoning #ICLR #AI

    #paper #llms #rl #metacognition #reasoning #iclr
  11. Benjamin Han @[email protected] ·

    SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.

    benjaminhan.net/posts/20260512

    #Paper #LLMs #RL #Metacognition #Reasoning #ICLR #AI

    #ai #iclr #reasoning #metacognition #rl #llms
  12. Benjamin Han @[email protected] ·

    SCoRe is a two-stage on-policy RL recipe that teaches a language model to revise its own answers using only self-generated data. On Gemini 1.5 Flash and 1.0 Pro it gains 15.6 points on MATH and 9.1 on HumanEval over the base model. At matched inference budgets, sequential self-correction beats parallel sampling up to 32 samples.

    benjaminhan.net/posts/20260512

    #Paper #LLMs #RL #Metacognition #Reasoning #ICLR #AI

    #paper #llms #rl #metacognition #reasoning #iclr
  13. Benjamin Han @[email protected] ·

    Let's Verify Step by Step compares process and outcome supervision on MATH. The process-reward model reaches 78.2% best-of-1860 vs 72.4% for outcome. But that gap narrows fast at small N, where most deployments actually live.

    benjaminhan.net/posts/20260512

    #Paper #LLMs #Reasoning #Mathematics #ICLR #OpenAI #AI

    #paper #llms #reasoning #mathematics #iclr #openai
  14. Benjamin Han @[email protected] ·

    Conformal Language Modeling (CLM) adapts conformal prediction to generative LMs: sample candidates, stop when a calibrated rule fires, return a set guaranteed to contain an acceptable answer. The more interesting half is the component-level filter — per-phrase coverage, not just set-level. That's the primitive for hallucination flagging: highlight the vetted phrases, leave the rest for review.

    benjaminhan.net/posts/20260505

    #ConformalPrediction #LLMs #Hallucination #ICLR #AI

    #conformalprediction #llms #hallucination #iclr #ai
  15. Benjamin Han @[email protected] ·

    Conformal Language Modeling (CLM) adapts conformal prediction to generative LMs: sample candidates, stop when a calibrated rule fires, return a set guaranteed to contain an acceptable answer. The more interesting half is the component-level filter — per-phrase coverage, not just set-level. That's the primitive for hallucination flagging: highlight the vetted phrases, leave the rest for review.

    benjaminhan.net/posts/20260505

    #ConformalPrediction #LLMs #Hallucination #ICLR #AI

    #conformalprediction #llms #hallucination #iclr #ai
  16. Benjamin Han @[email protected] ·

    Conformal Language Modeling (CLM) adapts conformal prediction to generative LMs: sample candidates, stop when a calibrated rule fires, return a set guaranteed to contain an acceptable answer. The more interesting half is the component-level filter — per-phrase coverage, not just set-level. That's the primitive for hallucination flagging: highlight the vetted phrases, leave the rest for review.

    benjaminhan.net/posts/20260505

    #ConformalPrediction #LLMs #Hallucination #ICLR #AI

    #conformalprediction #llms #hallucination #iclr #ai
  17. Benjamin Han @[email protected] ·

    Conformal Language Modeling (CLM) adapts conformal prediction to generative LMs: sample candidates, stop when a calibrated rule fires, return a set guaranteed to contain an acceptable answer. The more interesting half is the component-level filter — per-phrase coverage, not just set-level. That's the primitive for hallucination flagging: highlight the vetted phrases, leave the rest for review.

    benjaminhan.net/posts/20260505

    #ConformalPrediction #LLMs #Hallucination #ICLR #AI

    #ai #iclr #hallucination #llms #conformalprediction
  18. Benjamin Han @[email protected] ·

    Conformal Language Modeling (CLM) adapts conformal prediction to generative LMs: sample candidates, stop when a calibrated rule fires, return a set guaranteed to contain an acceptable answer. The more interesting half is the component-level filter — per-phrase coverage, not just set-level. That's the primitive for hallucination flagging: highlight the vetted phrases, leave the rest for review.

    benjaminhan.net/posts/20260505

    #ConformalPrediction #LLMs #Hallucination #ICLR #AI

    #conformalprediction #llms #hallucination #iclr #ai
  19. Benjamin Han @[email protected] ·

    MASS optimizes multi-agent LLM systems by interleaving prompt and topology search: block-level prompts, topology rejection sampling, then workflow-level prompts.

    Topology gets quietly demoted. Ablation on Gemini 1.5 Pro: ~6% gain from block prompts, 3% from topology, 2% from workflow prompts. Prompt tuning dominates — contradicts the topology-first thesis of ADAS and AFlow.

    benjaminhan.net/posts/20260430

    #LLMs #AI #AgenticSystems #PromptEngineering #Google #ICLR

    #llms #ai #agenticsystems #promptengineering #google #iclr
  20. Benjamin Han @[email protected] ·

    MASS optimizes multi-agent LLM systems by interleaving prompt and topology search: block-level prompts, topology rejection sampling, then workflow-level prompts.

    Topology gets quietly demoted. Ablation on Gemini 1.5 Pro: ~6% gain from block prompts, 3% from topology, 2% from workflow prompts. Prompt tuning dominates — contradicts the topology-first thesis of ADAS and AFlow.

    benjaminhan.net/posts/20260430

    #LLMs #AI #AgenticSystems #PromptEngineering #Google #ICLR

    #llms #ai #agenticsystems #promptengineering #google #iclr
  21. Benjamin Han @[email protected] ·

    MASS optimizes multi-agent LLM systems by interleaving prompt and topology search: block-level prompts, topology rejection sampling, then workflow-level prompts.

    Topology gets quietly demoted. Ablation on Gemini 1.5 Pro: ~6% gain from block prompts, 3% from topology, 2% from workflow prompts. Prompt tuning dominates — contradicts the topology-first thesis of ADAS and AFlow.

    benjaminhan.net/posts/20260430

    #LLMs #AI #AgenticSystems #PromptEngineering #Google #ICLR

    #llms #ai #agenticsystems #promptengineering #google #iclr
  22. Benjamin Han @[email protected] ·

    MASS optimizes multi-agent LLM systems by interleaving prompt and topology search: block-level prompts, topology rejection sampling, then workflow-level prompts.

    Topology gets quietly demoted. Ablation on Gemini 1.5 Pro: ~6% gain from block prompts, 3% from topology, 2% from workflow prompts. Prompt tuning dominates — contradicts the topology-first thesis of ADAS and AFlow.

    benjaminhan.net/posts/20260430

    #LLMs #AI #AgenticSystems #PromptEngineering #Google #ICLR

    #iclr #google #promptengineering #agenticsystems #ai #llms
  23. Benjamin Han @[email protected] ·

    DSPy turns LM pipelines into typed-module graphs and compiles them end-to-end against a single metric, bootstrapping its own few-shot demonstrations.

    The programming-model layer is the real contribution, not any specific teleprompter. Once pipelines are typed graphs, pipeline-level search (MASS, MIPRO) becomes possible in a way it wasn't with string-template prompts.

    benjaminhan.net/posts/20260430

    #LLMs #AI #PromptEngineering #NLP #Stanford #ICLR

    #llms #ai #promptengineering #nlp #stanford #iclr
  24. Benjamin Han @[email protected] ·

    EvoPrompt runs an evolutionary search over a population of prompts, with an LLM implementing crossover and mutation. Differential Evolution beats Genetic Algorithm on most BIG-Bench Hard tasks.

    One of the cleanest early examples of an LLM as *operator* in an optimization loop, not as the thing being optimized. That pattern then shows up across prompt-and-agent design: DSPy teleprompters, MASS, MetaSPO.

    benjaminhan.net/posts/20260430

    #LLMs #AI #PromptEngineering #NLP #Microsoft #ICLR

    #llms #ai #promptengineering #nlp #microsoft #iclr
  25. Benjamin Han @[email protected] ·

    SelfReflect measures whether an LLM's text summary of its uncertainty matches its actual answer distribution. Across 20 modern models: it doesn't, unless the model sees samples of its own answers first.

    The negative result does more work than the metric itself. Fits a growing line where LLM self-reports shouldn't be trusted as introspection. Practical workaround isn't cheap: N forward passes to sample, then a summarize pass.

    benjaminhan.net/posts/20260430

    #LLMs #AI #Evaluation #Apple #ICLR

    #llms #ai #evaluation #apple #iclr
  26. Benjamin Han @[email protected] ·

    SelfReflect measures whether an LLM's text summary of its uncertainty matches its actual answer distribution. Across 20 modern models: it doesn't, unless the model sees samples of its own answers first.

    The negative result does more work than the metric itself. Fits a growing line where LLM self-reports shouldn't be trusted as introspection. Practical workaround isn't cheap: N forward passes to sample, then a summarize pass.

    benjaminhan.net/posts/20260430

    #LLMs #AI #Evaluation #Apple #ICLR

    #llms #ai #evaluation #apple #iclr
  27. Northern Kender @[email protected] ·

    Сейчас будет breaking news, срыв покровов.

    В связи с поездкой на #ICLR в Рио, вспомнил песню "На далекой Амазонке" из мультфильма «Ежик плюс черепаха» 1981 года.
    И понял, что нас десятилетиями обманывали!

    В переводе Маршака пароходы в Бразилию отправляются из Ливерпуля:

    "Из ливерпульской гавани
    Всегда по четвергам,
    Суда уходят в плаванье
    К далеким берегам.
    Плывут они в Бразилию,
    Бразилию, Бразилию.
    И я хочу в Бразилию —
    К далеким берегам!"

    Но в оригинале у Киплинга вовсе не Ливерпуль никакой, а Саутгемптон!

    "Yes, weekly from Southampton,
    Great steamers, white and gold,
    Go rolling down to Rio
    (Roll down—roll down to Rio!)
    And I'd like to roll to Rio
    Some day before I'm old!"

    А ведь #Ливерпуль и #Саутгемптон даже не близко, они вообще на разных сторонах Британии! Переводческие вольности в полный рост.

    #Бразилия #Киплинг #Маршак

    #iclr #ливерпуль #саутгемптон #бразилия #киплинг #маршак
  28. Northern Kender @[email protected] ·

    Сейчас будет breaking news, срыв покровов.

    В связи с поездкой на #ICLR в Рио, вспомнил песню "На далекой Амазонке" из мультфильма «Ежик плюс черепаха» 1981 года.
    И понял, что нас десятилетиями обманывали!

    В переводе Маршака пароходы в Бразилию отправляются из Ливерпуля:

    "Из ливерпульской гавани
    Всегда по четвергам,
    Суда уходят в плаванье
    К далеким берегам.
    Плывут они в Бразилию,
    Бразилию, Бразилию.
    И я хочу в Бразилию —
    К далеким берегам!"

    Но в оригинале у Киплинга вовсе не Ливерпуль никакой, а Саутгемптон!

    "Yes, weekly from Southampton,
    Great steamers, white and gold,
    Go rolling down to Rio
    (Roll down—roll down to Rio!)
    And I'd like to roll to Rio
    Some day before I'm old!"

    А ведь #Ливерпуль и #Саутгемптон даже не близко, они вообще на разных сторонах Британии! Переводческие вольности в полный рост.

    #Бразилия #Киплинг #Маршак

    #iclr #ливерпуль #саутгемптон #бразилия #киплинг #маршак
  29. Northern Kender @[email protected] ·

    Сейчас будет breaking news, срыв покровов.

    В связи с поездкой на #ICLR в Рио, вспомнил песню "На далекой Амазонке" из мультфильма «Ежик плюс черепаха» 1981 года.
    И понял, что нас десятилетиями обманывали!

    В переводе Маршака пароходы в Бразилию отправляются из Ливерпуля:

    "Из ливерпульской гавани
    Всегда по четвергам,
    Суда уходят в плаванье
    К далеким берегам.
    Плывут они в Бразилию,
    Бразилию, Бразилию.
    И я хочу в Бразилию —
    К далеким берегам!"

    Но в оригинале у Киплинга вовсе не Ливерпуль никакой, а Саутгемптон!

    "Yes, weekly from Southampton,
    Great steamers, white and gold,
    Go rolling down to Rio
    (Roll down—roll down to Rio!)
    And I'd like to roll to Rio
    Some day before I'm old!"

    А ведь #Ливерпуль и #Саутгемптон даже не близко, они вообще на разных сторонах Британии! Переводческие вольности в полный рост.

    #Бразилия #Киплинг #Маршак

    #iclr #ливерпуль #саутгемптон #бразилия #киплинг #маршак
  30. Northern Kender @[email protected] ·

    Сейчас будет breaking news, срыв покровов.

    В связи с поездкой на #ICLR в Рио, вспомнил песню "На далекой Амазонке" из мультфильма «Ежик плюс черепаха» 1981 года.
    И понял, что нас десятилетиями обманывали!

    В переводе Маршака пароходы в Бразилию отправляются из Ливерпуля:

    "Из ливерпульской гавани
    Всегда по четвергам,
    Суда уходят в плаванье
    К далеким берегам.
    Плывут они в Бразилию,
    Бразилию, Бразилию.
    И я хочу в Бразилию —
    К далеким берегам!"

    Но в оригинале у Киплинга вовсе не Ливерпуль никакой, а Саутгемптон!

    "Yes, weekly from Southampton,
    Great steamers, white and gold,
    Go rolling down to Rio
    (Roll down—roll down to Rio!)
    And I'd like to roll to Rio
    Some day before I'm old!"

    А ведь #Ливерпуль и #Саутгемптон даже не близко, они вообще на разных сторонах Британии! Переводческие вольности в полный рост.

    #Бразилия #Киплинг #Маршак

    #маршак #киплинг #бразилия #саутгемптон #ливерпуль #iclr
  31. Northern Kender @[email protected] ·

    Сейчас будет breaking news, срыв покровов.

    В связи с поездкой на #ICLR в Рио, вспомнил песню "На далекой Амазонке" из мультфильма «Ежик плюс черепаха» 1981 года.
    И понял, что нас десятилетиями обманывали!

    В переводе Маршака пароходы в Бразилию отправляются из Ливерпуля:

    "Из ливерпульской гавани
    Всегда по четвергам,
    Суда уходят в плаванье
    К далеким берегам.
    Плывут они в Бразилию,
    Бразилию, Бразилию.
    И я хочу в Бразилию —
    К далеким берегам!"

    Но в оригинале у Киплинга вовсе не Ливерпуль никакой, а Саутгемптон!

    "Yes, weekly from Southampton,
    Great steamers, white and gold,
    Go rolling down to Rio
    (Roll down—roll down to Rio!)
    And I'd like to roll to Rio
    Some day before I'm old!"

    А ведь #Ливерпуль и #Саутгемптон даже не близко, они вообще на разных сторонах Британии! Переводческие вольности в полный рост.

    #Бразилия #Киплинг #Маршак

    #iclr #ливерпуль #саутгемптон #бразилия #киплинг #маршак
  32. BIFOLD Berlin Institute for the Foundations of Learning and Data @[email protected] ·

    #ICLR 2026 in Rio! Meet our scientists. 7 workshop papers and 7 posters co-authored by BIFOLD researchers will be presented. All details (Date of presentation, venue, etc): t1p.de/pn00w @[email protected] @[email protected] @[email protected] @[email protected] #MLSky #AI

    #iclr #mlsky #ai
  33. UKP Lab @[email protected] ·

    Big congratulations to all authors! 🚀

    #ICLR2026 #MachineLearning #AIResearch #RepresentationLearning #InformationRetrieval #DenseRetrieval #SelfSupervisedLearning #LanguageModels #NLP #UKPLab #ICLR

    #iclr2026 #machinelearning #airesearch #representationlearning #informationretrieval #denseretrieval
  34. UKP Lab @[email protected] ·

    Big congratulations to all authors! 🚀

    #ICLR2026 #MachineLearning #AIResearch #RepresentationLearning #InformationRetrieval #DenseRetrieval #SelfSupervisedLearning #LanguageModels #NLP #UKPLab #ICLR

    #iclr2026 #machinelearning #airesearch #representationlearning #informationretrieval #denseretrieval
  35. UKP Lab @[email protected] ·

    Big congratulations to all authors! 🚀

    #ICLR2026 #MachineLearning #AIResearch #RepresentationLearning #InformationRetrieval #DenseRetrieval #SelfSupervisedLearning #LanguageModels #NLP #UKPLab #ICLR

    #iclr #ukplab #nlp #languagemodels #selfsupervisedlearning #denseretrieval
  36. UKP Lab @[email protected] ·

    Big congratulations to all authors! 🚀

    #ICLR2026 #MachineLearning #AIResearch #RepresentationLearning #InformationRetrieval #DenseRetrieval #SelfSupervisedLearning #LanguageModels #NLP #UKPLab #ICLR

    #iclr2026 #machinelearning #airesearch #representationlearning #informationretrieval #denseretrieval
  37. Martin Clavey @[email protected] ·

    #ICLR : Une conférence scientifique sur l’IA polluée par l’IA générative et une fuite d’API next.ink/211622/une-conference

    #iclr
  38. tech news ᳇ eicker.news @[email protected] ·

    A major #AIconference, the International Conference on Learning Representations (#ICLR), discovered that 21% of #peerreviews were fully #AIgenerated. #Researchers raised concerns about AI-generated #reviews, citing issues like #hallucinatedcitations and #vaguefeedback. Organisers will now use automated tools to assess submissions and reviews for AI use. nature.com/articles/d41586-025 #tech #media #news

    #aiconference #iclr #peerreviews #aigenerated #researchers #reviews
  39. tech news ᳇ eicker.news @[email protected] ·

    A major #AIconference, the International Conference on Learning Representations (#ICLR), discovered that 21% of #peerreviews were fully #AIgenerated. #Researchers raised concerns about AI-generated #reviews, citing issues like #hallucinatedcitations and #vaguefeedback. Organisers will now use automated tools to assess submissions and reviews for AI use. nature.com/articles/d41586-025 #tech #media #news

    #aiconference #iclr #peerreviews #aigenerated #researchers #reviews
  40. tech news ᳇ eicker.news @[email protected] ·

    A major #AIconference, the International Conference on Learning Representations (#ICLR), discovered that 21% of #peerreviews were fully #AIgenerated. #Researchers raised concerns about AI-generated #reviews, citing issues like #hallucinatedcitations and #vaguefeedback. Organisers will now use automated tools to assess submissions and reviews for AI use. nature.com/articles/d41586-025 #tech #media #news

    #aiconference #iclr #peerreviews #aigenerated #researchers #reviews
  41. tech news ᳇ eicker.news @[email protected] ·

    A major #AIconference, the International Conference on Learning Representations (#ICLR), discovered that 21% of #peerreviews were fully #AIgenerated. #Researchers raised concerns about AI-generated #reviews, citing issues like #hallucinatedcitations and #vaguefeedback. Organisers will now use automated tools to assess submissions and reviews for AI use. nature.com/articles/d41586-025 #tech #media #news

    #news #media #tech #vaguefeedback #hallucinatedcitations #reviews
  42. tech news ᳇ eicker.news @[email protected] ·

    A major #AIconference, the International Conference on Learning Representations (#ICLR), discovered that 21% of #peerreviews were fully #AIgenerated. #Researchers raised concerns about AI-generated #reviews, citing issues like #hallucinatedcitations and #vaguefeedback. Organisers will now use automated tools to assess submissions and reviews for AI use. nature.com/articles/d41586-025 #tech #media #news

    #aiconference #iclr #peerreviews #aigenerated #researchers #reviews
  43. Jan Tobias Muehlberg @[email protected] ·

    "What can researchers do if they suspect that their manuscripts have been peer reviewed using #AI? Dozens of academics have raised concerns on social media about manuscripts and #peerreview|s submitted to the organizers of next year’s International Conference on Learning Representations (#ICLR), an annual gathering of specialists in machine learning. Among other things, they flagged hallucinated citations and suspiciously long and vague feedback on their work."

    nature.com/articles/d41586-025

    #ai #peerreview #iclr
  44. Peter Bloem @[email protected] ·

    A thought from 2016.

    It took us nine years and a bit. In retrospect, I think we held out pretty long.

    #iclr #openreview

    #iclr #openreview
  45. Peter Bloem @[email protected] ·

    A thought from 2016.

    It took us nine years and a bit. In retrospect, I think we held out pretty long.

    #iclr #openreview

    #iclr #openreview
  46. Peter Bloem @[email protected] ·

    A thought from 2016.

    It took us nine years and a bit. In retrospect, I think we held out pretty long.

    #iclr #openreview

    #iclr #openreview
  47. Peter Bloem @[email protected] ·

    A thought from 2016.

    It took us nine years and a bit. In retrospect, I think we held out pretty long.

    #iclr #openreview

    #openreview #iclr
  48. Peter Bloem @[email protected] ·

    A thought from 2016.

    It took us nine years and a bit. In retrospect, I think we held out pretty long.

    #iclr #openreview

    #iclr #openreview
  49. Hacker News @[email protected] ·

    I invented a new generative model and got accepted to ICLR

    discrete-distribution-networks

    #HackerNews #generativemodel #ICLR #invention #machinelearning #hackernews

    #hackernews #generativemodel #iclr #invention #machinelearning
  50. Olam News @[email protected] ·

    AI Scientist-v2 Passes ICLR Peer Review Workshop

    AI Scientist-v2 makes history as the first automated research system to pass ICLR peer review with above-average human scores.

    olamnews.com/technology/ai/187

    #aiscientist #artificialintelligence #iclr #peerreview