Tagged articles

active reasoning

2 articles · Page 1 of 1

Jun 17, 2026 · Artificial Intelligence

Why RL‑Trained Agents Still Fail to Reason Actively: The Information Self‑Locking Problem

The paper reveals that outcome‑based reinforcement learning often traps LLM agents in an information self‑locking regime where weak action selection and belief tracking prevent proper credit assignment, and introduces AREW, a lightweight advantage‑reweighting method that restores active reasoning across multiple tasks and models.

AREWAgentic RLLLM Agents

0 likes · 24 min read

Why RL‑Trained Agents Still Fail to Reason Actively: The Information Self‑Locking Problem

AI Frontier Lectures

Jul 27, 2025 · Artificial Intelligence

Can LLMs Ask the Right Questions? Introducing AR‑Bench for Active Reasoning

Large Language Models excel at passive reasoning, but struggle when information is incomplete; this paper defines the active reasoning problem, presents the AR‑Bench benchmark with detective, puzzle, and number‑guessing tasks, and reveals through extensive experiments that even top models like GPT‑4o perform poorly, highlighting research gaps.

LLM evaluationactive reasoningbenchmark

0 likes · 13 min read

Can LLMs Ask the Right Questions? Introducing AR‑Bench for Active Reasoning