AI
Fool's Gold: Defensive Deception Against Safety-Removal Attacks on Open-Weight Models
Researchers have developed a new defense mechanism called 'Fool's Gold' to protect open-weight langu...
AI
Explicit State Elicitation Is Not Enough: A Controlled Audit of Memory-Policy Classification
Researchers have developed an audit protocol to test the performance of personalized agents in decis...
AI
Do LLMs Know a Good Hypothesis When They See One? Logit-Based Energy Scoring Outperforms Prompted LLM-as-Judge for Scientific Hypothesis Ranking
Researchers proposed a new method to evaluate scientific hypotheses generated by large language mode...
AI
ASI-Bench: At the Dawn of Artificial Superintelligence
Researchers have introduced ASI-Bench, a new benchmark designed to evaluate the capabilities of arti...
AI
DeAR: Decentralized Agentic Reasoning via Capability Grounding and Collaborative Thought Navigation
A new AI framework called DeAR (Decentralized Agentic Reasoning) has been propos...
AI
PlanPO: Group Planning-Aware Policy Optimization for Multi-Turn Agentic LLMs
Researchers have proposed a new method for training large language models (LLMs)...
AI
LiveHouse-TS: An Open-world Living Benchmark for Time Series Foundation Models
Researchers have introduced LiveHouse-TS, an open-world living benchmark for Tim...
AI
SignalReasoner: Assessing the Upper Bound of 3B Models for Signal Mathematical Reasoning
Researchers have fine-tuned a large language model, called Qwen2.5-3B-Base, to i...