·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
SpaceX’s massive IPO: all the latest news1h◆SpaceX IPO: Everything you need to know1h◆Jeff Bezos’ AI startup aims to build an ‘artificial general engineer’1h◆Siri won’t be your AI girlfriend8h◆Cheaper, faster, and culturally aware, Avataar’s video AI is built for India’s scale11h◆EDEN: A Large-Scale Corpus of Clinical Notes for Italian11h◆ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection11h◆LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling11h◆APPO: Agentic Procedural Policy Optimization11h◆ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing11h◆Grounding Computer Use Agents on Human Demonstrations11h◆WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning11h◆AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility11h◆Can Factual Opinions Be Edited (Manipulated) in Large Language Models?11h◆Mana: Dexterous Manipulation of Articulated Tools11h◆How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope11h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models11h◆LSTM based IoT Device Identification11h◆Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents11h◆Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming11h◆SpaceX’s massive IPO: all the latest news1h◆SpaceX IPO: Everything you need to know1h◆Jeff Bezos’ AI startup aims to build an ‘artificial general engineer’1h◆Siri won’t be your AI girlfriend8h◆Cheaper, faster, and culturally aware, Avataar’s video AI is built for India’s scale11h◆EDEN: A Large-Scale Corpus of Clinical Notes for Italian11h◆ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection11h◆LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling11h◆APPO: Agentic Procedural Policy Optimization11h◆ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing11h◆Grounding Computer Use Agents on Human Demonstrations11h◆WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning11h◆AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility11h◆Can Factual Opinions Be Edited (Manipulated) in Large Language Models?11h◆Mana: Dexterous Manipulation of Articulated Tools11h◆How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope11h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models11h◆LSTM based IoT Device Identification11h◆Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents11h◆Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming11h◆
News/Reward Models Are Secretly Value Functions: Temporally Coherent Reward Modeling
arxiv
PublishedApril 28, 2026 at 4:00 AM

Reward Models Are Secretly Value Functions: Temporally Coherent Reward Modeling

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.22981v1 Announce Type: new Abstract: Reward models in RLHF are trained to score only the final token of a response - a choice that discards rich signal from every intermediate position and produces models whose token-level outputs are noise. We argue this is a missed opportunity: a well-t

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivEDEN: A Large-Scale Corpus of Clinical Notes for Italian11harxivASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection11harxivLoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling11harxivAPPO: Agentic Procedural Policy Optimization11h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews