nelson-liu / lost-in-the-middleLinks
Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
☆360Updated last year
Alternatives and similar repositories for lost-in-the-middle
Users that are interested in lost-in-the-middle are comparing it to the libraries listed below
Sorting:
- ☆293Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆498Updated last year
- [EMNLP 2023] Adapting Language Models to Compress Long Contexts☆318Updated last year
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆398Updated 7 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆391Updated last year
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆523Updated last year
- ☆189Updated 4 months ago
- DSIR large-scale data selection framework for language model training☆265Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆549Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆523Updated 9 months ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆554Updated 9 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆382Updated 2 years ago
- [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning☆248Updated 2 years ago
- Data and Code for Program of Thoughts [TMLR 2023]☆292Updated last year
- Learning to Compress Prompts with Gist Tokens - https://arxiv.org/abs/2304.08467☆299Updated 8 months ago
- A large-scale, fine-grained, diverse preference dataset (and models).☆355Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆344Updated last year
- What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets☆223Updated 11 months ago
- A Survey on Data Selection for Language Models☆252Updated 6 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆528Updated last year
- ☆280Updated 10 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆477Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆551Updated last year
- Datasets for Instruction Tuning of Large Language Models☆258Updated last year
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆402Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆500Updated last year
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆282Updated 2 years ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆574Updated 11 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆355Updated last year
- Prod Env☆433Updated 2 years ago