BatsResearch / nayak-aclfindings24-codeLinks
☆22Updated last year
Alternatives and similar repositories for nayak-aclfindings24-code
Users that are interested in nayak-aclfindings24-code are comparing it to the libraries listed below
Sorting:
- [Neurips2023] Source code for Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory☆62Updated 2 years 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
- [NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".☆131Updated 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…☆119Updated last year
- ☆74Updated last year
- [NAACL 2024] End-to-End Beam Retrieval for Multi-Hop Question Answering☆113Updated last year
- Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"☆32Updated 2 months ago
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆57Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆122Updated 9 months ago
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆96Updated last year
- Scripts for generating synthetic finetuning data for reducing sycophancy.☆116Updated 2 years ago
- A Survey of Attributions for Large Language Models☆213Updated last year
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆87Updated last year
- Code implementation of synthetic continued pretraining☆129Updated 8 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated 10 months ago
- A framework for editing the CoTs for better factuality☆51Updated last year
- Code and data accompanying our paper on arXiv "Faithful Chain-of-Thought Reasoning".☆163Updated last year
- Lightweight tool to identify Data Contamination in LLMs evaluation☆52Updated last year
- This is the code repo for our paper "Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents".☆108Updated 10 months ago
- [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection☆89Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆73Updated last year
- We have released the code and demo program required for LLM with self-verification☆63Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆131Updated last year
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆122Updated 7 months ago
- Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks☆99Updated 2 years ago
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆189Updated last year
- Code/data for MARG (multi-agent review generation)☆49Updated 10 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆74Updated 10 months ago
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆56Updated last year
- Unofficial implementation of AlpaGasus☆92Updated last year