microsoft / CoNLI_hallucinationLinks
CoNLI: a plug-and-play framework for ungrounded hallucination detection and reduction
☆31Updated last year
Alternatives and similar repositories for CoNLI_hallucination
Users that are interested in CoNLI_hallucination are comparing it to the libraries listed below
Sorting:
- Contrastive Chain-of-Thought Prompting☆68Updated last year
- ☆74Updated last year
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆87Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆82Updated last year
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆96Updated last year
- [NAACL 2024] Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models☆86Updated last year
- Code, datasets, models for the paper "Automatic Evaluation of Attribution by Large Language Models"☆56Updated 2 years ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆127Updated 8 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated 11 months ago
- the instructions and demonstrations for building a formal logical reasoning capable GLM☆54Updated 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…☆121Updated last year
- [ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting☆27Updated 2 years ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 4 months ago
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆153Updated last year
- Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 20…☆28Updated last year
- We have released the code and demo program required for LLM with self-verification☆63Updated 2 years ago
- [NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"☆113Updated 2 years ago
- [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use☆99Updated last year
- ☆48Updated last year
- 🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Mode…☆52Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆123Updated 10 months ago
- ☆128Updated last year
- MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation☆28Updated last year
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆86Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems☆47Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆73Updated last year
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆51Updated 2 months ago
- ☆68Updated 2 years ago
- Code for the ACL 2023 long paper - Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering☆37Updated 2 years ago