ToolBeHonest / ToolBeHonestLinks
[EMNLP 2024] A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models.
☆18Updated last year
Alternatives and similar repositories for ToolBeHonest
Users that are interested in ToolBeHonest are comparing it to the libraries listed below
Sorting:
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆28Updated 2 years ago
- Paper list and datasets for the paper: A Survey on Data Selection for LLM Instruction Tuning☆47Updated last year
- ☆87Updated 2 years ago
- Collection of papers for scalable automated alignment.☆93Updated last year
- ☆77Updated last year
- Enhancing contextual understanding in large language models through contrastive decoding☆21Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated 2 years ago
- ☆48Updated 2 years ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated 11 months ago
- [EMNLP 2023] Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts☆27Updated 2 years ago
- Evaluating the faithfulness of long-context language models☆30Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- [ICLR 2025] Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist☆34Updated last year
- ☆58Updated last year
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆53Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated last year
- ☆51Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆150Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆64Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆58Updated last year
- [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"☆25Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73Updated 7 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration☆36Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated 3 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆134Updated last year
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆46Updated last year
- ☆14Updated last year