PHRBench: A Behavioral Evaluation of Post-Hallucination Reasoning in LLMs
cs.CL, cs.AI
Submitted: 2026-10-07
Updated: 2026-10-09
Code: https://github.com/menglinghao2025/PHR
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
- ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
- The Llama 3 Herd of Models
- Measuring Massive Multitask Language Understanding
- Collective Hallucination in Multi-Agent LLMs:Modeling and Defense
- Hallucination Cascade: Analyzing Error Propagation in Multi-Agent LLM Systems
- Mistral 7B
- MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
- Why Language Models Hallucinate
- GPT-4o System Card
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
- Hallucination is Inevitable: An Innate Limitation of Large Language Models
- Qwen2.5 Technical Report
- Qwen3 Technical Report
- ReAct: Synergizing Reasoning and Acting in Language Models
- Why Your Deep Research Agent Fails? On Hallucination Evaluation in Full Research Trajectory
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