arXiv:2602.09341v2 Announce Type: replace Abstract: Multi-agent systems (MAS) can substantially extend the reasoning capacity of large language models…
Tag: AI
Not All Preferences Deserve Gradients: Understanding Gradient Utility in Offline Reasoning Alignment
arXiv:2602.01207v2 Announce Type: replace Abstract: Offline preference optimization aligns reasoning models from fixed chosen–rejected pairs, yet…
NeuroWeaver: An Autonomous Evolutionary Agent for Exploring the Programmatic Space of EEG Analysis Pipelines
arXiv:2602.13473v3 Announce Type: replace Abstract: Although foundation models have achieved remarkable success in general domains, applying them to…
Discovering High Level Patterns from Simulation Traces
arXiv:2602.10009v3 Announce Type: replace Abstract: Large Language Models (LLMs) are unable to reliably reason about specific physical systems. Attempts…
OpenAI Commits $1B to Frontline Cyber Defense, Launches MS-ISAC Pilot
OpenAI on September 3, 2026 introduced Daybreak for Frontline Defenders, a global initiative committing $1 billion in subsidized access to its Daybreak…
Complete Identification of Deep ReLU Networks through {\L}ukasiewicz Logic
arXiv:2602.00266v2 Announce Type: replace Abstract: Two deep ReLU networks can have entirely different architectures and parameters, yet realize the same…
PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization
arXiv:2601.10029v3 Announce Type: replace Abstract: Academic paper search is a fundamental task in scientific research, yet most existing approaches…
WELD: The First Naturalistic Long-Period Small-Team Workplace Emotion Dataset for Ubiquitous Affective Computing
arXiv:2510.15221v3 Announce Type: replace Abstract: Affective computing has matured rapidly in laboratory settings, yet no prior dataset combines (i)…
Grammar-Aligned Decoding
arXiv:2405.21047v4 Announce Type: replace Abstract: Large Language Models (LLMs) struggle with reliably generating highly structured outputs, such as…
RECAST: Expanding the Boundaries of LLMs’ Complex Instruction Following with Multi-Constraint Data
arXiv:2505.19030v5 Announce Type: replace Abstract: Large language models (LLMs) are increasingly expected to tackle complex tasks, driven by their…