nelson-liu / lost-in-the-middle
Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
☆300Updated 8 months ago
Related projects: ⓘ
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆386Updated 7 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆405Updated 4 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆271Updated 4 months ago
- ☆259Updated 8 months ago
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆268Updated last week
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆442Updated last month
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆342Updated 2 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆416Updated 6 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆508Updated 6 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆300Updated 11 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆235Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆436Updated 3 weeks ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆201Updated 10 months ago
- RewardBench: the first evaluation tool for reward models.☆352Updated last week
- DSIR large-scale data selection framework for language model training☆221Updated 5 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆411Updated 2 months ago
- Generative Judge for Evaluating Alignment☆208Updated 8 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆244Updated last week
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆337Updated 2 months ago
- Source Code of Paper "GPTScore: Evaluate as You Desire"☆219Updated last year
- ☆239Updated 10 months ago
- ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)☆230Updated 5 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆467Updated 3 months ago
- Data and Code for Program of Thoughts (TMLR 2023)☆229Updated 4 months ago
- All available datasets for Instruction Tuning of Large Language Models☆231Updated 9 months ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆292Updated 8 months ago
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆386Updated 7 months ago
- ☆246Updated 9 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆366Updated 4 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆299Updated 8 months ago