World Feedback
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Related Articles from SNS
EvalStop: Using World Feedback to Detect and Correct Reward Overoptimization in Multi-Tenant RLHF Platforms
arXiv:2606.04145v1 Announce Type: new Abstract: Cloud LLM fine-tuning platforms increasingly serve RLHF workloads, where a learned reward model is optimized as a proxy for human quality. As Gao et al. (2023) showed, this proxy diverges from world feedback (downstream eval metrics) under sustained optimization pressure, a phenomenon known as reward overoptimization. Existing platform schedulers ignore this divergence: non-clairvoyant schedulers optimize JCT without any quality signal,...
Counterfactual Transport Flows for Offline Conservative Trajectory Refinement
Announce Type: new Abstract: Offline reinforcement learning (RL) offers a path to policy improvement from logged data alone, using historical returns or other measurable outcomes as world feedback. A key difficulty is improving observed behavior without extrapolating beyond what the offline data supports. We propose \emph{counterfactual transport flows}, a source-conditioned trajectory refinement framework for offline decision-making guided by world feedback.
Learning Contact Representation for Leg Odometry
arXiv:2606.05501v1 Announce Type: new Abstract: The estimation of odometry in legged robots depends on the assumption that the velocity of the foot with respect to the world remains zero during the stance phase. Feedback for the main body velocity is derived from the kinematic serial chain of the feet making accurate leg phase detection is a critical subproblem. A considerable number of studies employ ground reaction force sensors mounted at the tip of the foot to classify, yet these sensors...
Solipsistic Superintelligence is Unlikely to be Cooperative
arXiv:2606.03237v1 Announce Type: new Abstract: AI's central challenge is shifting from capability to coexistence. The dominant paradigm in AI research focuses on developing powerful agents that treat the world as an exogenous and stationary source of feedback. We contend that superintelligence, an extremely capable task solver, born out of such a solipsistic approach to AI design, is unlikely to be cooperative.
Bank association 'aware of feedback' after PayNow name masking spells out inappropriate words
Bank association 'aware of feedback' after PayNow name masking spells out inappropriate words The Association of Banks in Singapore (ABS) told CNA that the letter "X" was used instead of an asterisk, dash or another symbol because not all PayNow-related systems across its 29 participating institutions currently support special characters. SINGAPORE: The Association of Banks in Singapore (ABS) on Wednesday (Jun 10) said it was aware of feedback after the recent masking of PayNow users' names...
ViVa: A Video-Generative Value Model for Robot Reinforcement Learning
arXiv:2604.08168v2 Announce Type: replace Abstract: Vision-language-action (VLA) models have advanced robot manipulation through large-scale pretraining, but real-world deployment remains challenging due to partial observability and delayed feedback. Reinforcement learning addresses this via value functions, which assess task progress and guide policy improvement. However, existing value models built on vision-language models (VLMs) struggle to capture temporal dynamics and physical...
Learning Reasoning World Models for Parallel Code
arXiv:2604.20926v3 Announce Type: replace Abstract: Large language models have shown remarkable ability in serial code generation, but they still struggle with parallel code for which training data is comparatively scarce. A common remedy is to use coding agents that interact with external tools, but tool calls can be costly and sometimes impractical, e.g., for partially written code. We propose Parallel-Code World Models (PCWMs), reasoning LLMs that aim to predict tool outcomes directly...
Popularity Feedback Constrains Innovation in Cultural Markets
arXiv:2602.09997v2 Announce Type: replace Abstract: Real-world creative processes ranging from art to science rely on social feedback-loops between selection and creation. Yet, the effects of popularity feedback on collective creativity remain poorly understood. We investigate how popularity ratings influence cultural dynamics in a large-scale online experiment where participants ($N = 1\,008$) iteratively \textit{select} images from evolving markets and \textit{produce} their own modifications.
More than 800 feedback cases a year lodged with NParks over pet parrots as popularity grows in Singapore
More than 800 feedback cases a year lodged with NParks over pet parrots as popularity grows in Singapore Complaints ranged from excessive noise to concerns about animal welfare. Pet parrots may bring colour and chatter into homes, but they are also becoming a growing source of disputes between neighbours. The National Parks Board (NParks) received an average of more than 800 feedback cases involving pet parrots each year between 2021 and 2025, with complaints ranging from excessive noise to...
FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation
Announce Type: new Abstract: Force signals provide critical interaction cues for contact-rich robotic manipulation. However, existing methods mostly use force as an additional observation modality, without fully exploiting its role in modeling future interaction dynamics or guiding execution-time feedback correction.