SihengLi99 / LLM-Honesty-SurveyLinks
[2025-TMLR] A Survey on the Honesty of Large Language Models
☆64Updated last year
Alternatives and similar repositories for LLM-Honesty-Survey
Users that are interested in LLM-Honesty-Survey are comparing it to the libraries listed below
Sorting:
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆73Updated 6 months ago
- ☆51Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆39Updated 2 years ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆62Updated last year
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆157Updated 3 months ago
- ☆48Updated 2 years ago
- Public code repo for COLING 2025 paper "Aligning LLMs with Individual Preferences via Interaction"☆41Updated 9 months ago
- ☆23Updated 3 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆77Updated 3 months ago
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning☆70Updated 6 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆98Updated 3 months ago
- ☆78Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆127Updated last year
- [ICLR2026] Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆62Updated 8 months ago
- ☆58Updated last year
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆29Updated last year
- Large Language Models Can Self-Improve in Long-context Reasoning☆72Updated last year
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆51Updated last year
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆156Updated 7 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆191Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO☆62Updated 9 months ago
- ☆45Updated last month
- [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.☆87Updated 11 months ago