Tag: AI reasoning
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Peer-Predictive Self-Training Boosts Language Model Reasoning
Discover how Peer-Predictive Self-Training improves language model reasoning accuracy without external supervision using collaborative learning.
LLM Logic Errors: Correct Reasoning, Wrong Answers Explained
Explore how large language models show correct reasoning but produce wrong answers, revealed by the Novel Operator Test in AI logic evaluation.
Quantifying Uncertainty in Large Reasoning Models
Discover robust methods to quantify and understand uncertainty in large reasoning models with theoretical guarantees and improved reliability.
CocoaBench: Benchmarking Unified Digital Agents Performance
Discover CocoaBench, a benchmark for unified digital agents integrating vision, coding, and reasoning skills with automatic evaluation.
KG-Hopper: Compact LLMs with Knowledge Graph Reasoning
Discover KG-Hopper, a compact LLM framework using reinforcement learning for efficient multi-hop knowledge graph reasoning and superior AI performance.