KomeijiForce / MetaIE
This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to all kinds of downstream information extraction tasks.
☆24Updated 3 months ago
Alternatives and similar repositories for MetaIE:
Users that are interested in MetaIE are comparing it to the libraries listed below
- Rethinking Negative Instances for Generative Named Entity Recognition☆49Updated 11 months ago
- Tool for converting LLMs from uni-directional to bi-directional by removing causal mask for tasks like classification and sentence embedd…☆57Updated 2 months ago
- A framework for editing the CoTs for better factuality☆48Updated last year
- [EMNLP2024] Aligning Large Language Models on Information Extraction☆41Updated 3 months ago
- ☆14Updated 8 months ago
- Official repository for paper "TableBench: A Comprehensive and Complex Benchmark for Table Question Answering"☆38Updated 4 months ago
- ☆22Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆40Updated 11 months ago
- A Toolkit for Table-based Question Answering☆109Updated last year
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)☆48Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆66Updated 6 months ago
- The code of arxiv paper: "CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis"☆21Updated last month
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆44Updated last month
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated 11 months ago
- EMNLP'2023 (Findings): Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!☆41Updated 10 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆72Updated 2 weeks ago
- ☆30Updated last year
- [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors☆35Updated 2 weeks ago
- The implementation for CIKM 2024: Towards Completeness-Oriented Tool Retrieval for Large Language Models.☆19Updated 3 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆44Updated 7 months ago
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆63Updated last year
- ☆80Updated last year
- Source code for ACL 2023 paper Decoder Tuning: Efficient Language Understanding as Decoding☆48Updated last year
- ☆45Updated 8 months ago
- ☆21Updated last year
- Official github repo for AutoDetect, an automated weakness detection framework for LLMs.☆41Updated 7 months ago
- [ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"☆39Updated last year
- ☆16Updated last year
- code for paper 《RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement》☆31Updated last year
- Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"☆16Updated 10 months ago