jlko / long_hallucinationsLinks
Codebase for reproducing the experiments of the semantic uncertainty paper (paragraph-length experiments).
☆76Updated last year
Alternatives and similar repositories for long_hallucinations
Users that are interested in long_hallucinations are comparing it to the libraries listed below
Sorting:
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆125Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆79Updated last year
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆63Updated last year
- [NeurIPS 2024] Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models☆106Updated 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…☆126Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆67Updated last year
- Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)☆132Updated 5 months ago
- [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers☆159Updated last month
- ☆76Updated last year
- Code implementation of synthetic continued pretraining☆143Updated 11 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆70Updated 3 years ago
- ☆48Updated last year
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆133Updated 10 months ago
- Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering☆193Updated 10 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆133Updated 8 months ago
- The Paper List on Data Contamination for Large Language Models Evaluation.☆107Updated 3 weeks ago
- AbstainQA, ACL 2024☆28Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆134Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆150Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆75Updated last year
- Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"☆42Updated 6 months ago
- [ICLR'25] DataGen: Unified Synthetic Dataset Generation via Large Language Models☆64Updated 9 months ago
- [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO☆60Updated 7 months ago
- ☆37Updated 10 months ago
- A Survey of Hallucination in Large Foundation Models☆55Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- A Survey of Attributions for Large Language Models☆220Updated last year
- A method of ensemble learning for heterogeneous large language models.☆64Updated last year
- A Survey on Data Selection for Language Models☆252Updated 7 months ago