ictnlp / TACSLinks
Source code for Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts
☆17Updated 10 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"☆66Updated last year
- ☆75Updated 6 months ago
- ☆55Updated 10 months ago
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models☆56Updated 11 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆69Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆39Updated 9 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- ☆74Updated last year
- ☆45Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated last year
- Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…☆46Updated 2 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆60Updated 7 months ago
- ☆67Updated 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…☆114Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆18Updated last year
- [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"☆61Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- Evaluation of the Cross-Lingual Knowledge Alignment in LLMs☆9Updated last year
- Codebase for LLM Textual Hallucination Benchmark☆32Updated 2 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning☆164Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆178Updated last year
- ☆46Updated 7 months ago
- ☆30Updated 5 months ago