KomeijiForce / MetaIELinks
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.
☆27Updated 6 months ago
Alternatives and similar repositories for MetaIE
Users that are interested in MetaIE are comparing it to the libraries listed below
Sorting:
- [ACL-24 Findings] Code implementation of Paper "Rethinking Negative Instances for Generative Named Entity Recognition"☆54Updated last year
- EMNLP'2023 (Findings): Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!☆44Updated last year
- Tool for converting LLMs from uni-directional to bi-directional by removing causal mask for tasks like classification and sentence embedd…☆60Updated 8 months ago
- Official repository for paper "TableBench: A Comprehensive and Complex Benchmark for Table Question Answering"☆68Updated 3 months ago
- Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"☆17Updated last year
- [ACL 2024] ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis.☆62Updated 7 months ago
- A framework for editing the CoTs for better factuality☆51Updated last year
- [EMNLP2024] Aligning Large Language Models on Information Extraction☆53Updated 9 months ago
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆42Updated last year
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆64Updated last year
- A Toolkit for Table-based Question Answering☆113Updated last year
- The implementation for CIKM 2024: Towards Completeness-Oriented Tool Retrieval for Large Language Models.☆22Updated 9 months ago
- SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning. COLM 2024 Accepted Paper☆33Updated last year
- ☆18Updated last year
- [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors☆37Updated 6 months ago
- The source code and dataset mentioned in the paper Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmar…☆53Updated 9 months ago
- ☆17Updated last year
- ☆16Updated last year
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆53Updated last year
- [COLING 2025] NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models☆17Updated 7 months ago
- ☆34Updated last year
- ☆58Updated 10 months ago
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆28Updated last year
- Code for "A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction"☆15Updated last year
- Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation☆21Updated 5 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 2 months ago
- [ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"☆40Updated last year
- ☆83Updated last year
- Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"☆82Updated 2 years ago
- Leveraging passage embeddings for efficient listwise reranking with large language models.☆46Updated 8 months ago