xz-liu / GraphEval
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
☆24Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for GraphEval
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆57Updated 3 weeks ago
- This is the official code for paper: [PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs]☆31Updated 2 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆62Updated 3 months ago
- [Findings of EMNLP'2024] Unified Active Retrieval for Retrieval Augmented Generation☆17Updated last month
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆61Updated last year
- A framework for editing the CoTs for better factuality☆40Updated 11 months ago
- [ICLR24] The open-source repo of THU-KEG's KoLA benchmark.☆50Updated last year
- Do Large Language Models Know What They Don’t Know?☆85Updated 2 weeks ago
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆77Updated last year
- InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆54Updated last week
- [EMNLP 2023] Knowledge Rumination for Pre-trained Language Models☆17Updated last year
- Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"☆46Updated last month
- This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REA…☆18Updated 5 months ago
- Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"☆48Updated 5 months ago
- ☆25Updated 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…☆83Updated 4 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆86Updated 2 months ago
- ☆36Updated 10 months ago
- ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆62Updated 7 months ago
- Codebase for Instruction Following without Instruction Tuning☆32Updated last month
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆47Updated 7 months ago
- Code implementation of synthetic continued pretraining☆60Updated last month
- [ICLR2024] Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources☆56Updated 5 months ago
- LongHeads: Multi-Head Attention is Secretly a Long Context Processor☆28Updated 7 months ago
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆38Updated 8 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆49Updated last week
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆49Updated 8 months ago
- [Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token☆92Updated 4 months ago
- PGRAG☆42Updated 4 months ago
- [ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"☆38Updated 11 months ago