kortukov / realistic_knowledge_conflictsLinks
Code for the paper "Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documentss"
☆15Updated 11 months ago
Alternatives and similar repositories for realistic_knowledge_conflicts
Users that are interested in realistic_knowledge_conflicts are comparing it to the libraries listed below
Sorting:
- Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://aclanthology.org/2024.emnlp-main.347/☆25Updated 6 months ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆62Updated 2 years ago
- ☆176Updated last year
- Token-level Reference-free Hallucination Detection☆96Updated 2 years ago
- The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…☆96Updated 4 years ago
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆52Updated 3 months ago
- ☆36Updated last year
- ☆45Updated last year
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆78Updated 2 years ago
- Code for "Tracing Knowledge in Language Models Back to the Training Data"☆39Updated 2 years ago
- ☆189Updated 2 months ago
- ☆41Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆86Updated 2 years ago
- ☆88Updated 2 years ago
- Repo for the paper "Large Language Models Struggle to Learn Long-Tail Knowledge"☆78Updated 2 years ago
- ☆53Updated last year
- Code for Editing Factual Knowledge in Language Models☆140Updated 3 years ago
- Methods and evaluation for aligning language models temporally☆30Updated last year
- ☆17Updated 2 years ago
- ☆35Updated 3 years ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆74Updated 10 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆63Updated 9 months ago
- ☆55Updated 2 years ago
- Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 20…☆28Updated last year
- Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering☆37Updated 2 years ago
- TBC☆27Updated 2 years ago
- EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975☆38Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆73Updated last year
- Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models☆44Updated 3 years ago