ictnlp / TACSLinks
Source code for Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts
☆17Updated 11 months ago
Alternatives and similar repositories for TACS
Users that are interested in TACS are comparing it to the libraries listed below
Sorting:
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- ☆56Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…☆49Updated 3 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆75Updated last year
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆56Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 7 months ago
- ☆68Updated last year
- ☆20Updated last year
- ☆81Updated 8 months ago
- [ACL 2023] Code and Data Repo for Paper "Element-aware Summary and Summary Chain-of-Thought (SumCoT)"☆54Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- ☆75Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆115Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 8 months ago
- Enhancing contextual understanding in large language models through contrastive decoding☆20Updated last year
- A method of ensemble learning for heterogeneous large language models.☆58Updated last year
- ☆47Updated last year
- [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO☆52Updated 3 months ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆40Updated 10 months ago
- Personality Alignment of Language Models☆41Updated last month
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 11 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 3 months ago
- Official Implementation for the paper "Integrative Decoding: Improving Factuality via Implicit Self-consistency"☆28Updated 4 months ago
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆163Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆185Updated last year