Alternatives and similar repositories for LEval

Users that are interested in LEval are comparing it to the libraries listed below

• OpenBMB / InfiniteBench
  Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718
  ☆336Updated 8 months ago
• hkust-nlp / deita
  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]
  ☆556Updated 6 months ago
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆462Updated last year
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆184Updated 8 months ago
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆410Updated 8 months ago
• QwenLM / AutoIF
  ☆288Updated 10 months ago
• nelson-liu / lost-in-the-middle
  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
  ☆347Updated last year
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆306Updated 9 months ago
• THUDM / LongAlign
  [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs
  ☆250Updated 6 months ago
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆239Updated last year
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆251Updated last year
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆264Updated 9 months ago
• OpenBMB / UltraFeedback
  A large-scale, fine-grained, diverse preference dataset (and models).
  ☆341Updated last year
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆546Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆261Updated last year
• raunak-agarwal / instruction-datasets
  All available datasets for Instruction Tuning of Large Language Models
  ☆252Updated last year
• DachengLi1 / LongChat
  Official repository for LongChat and LongEval
  ☆520Updated last year
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆604Updated last week
• THUDM / LongBench
  LongBench v2 and LongBench (ACL 25'&24')
  ☆903Updated 5 months ago
• OFA-Sys / InsTag
  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning
  ☆261Updated last year
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆498Updated 5 months ago
• sangmichaelxie / doremi
  Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
  ☆332Updated last year
• OpenBMB / UltraEval
  [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.
  ☆244Updated 7 months ago
• FasterDecoding / REST
  REST: Retrieval-Based Speculative Decoding, NAACL 2024
  ☆204Updated 6 months ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆456Updated 8 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆617Updated last year
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆158Updated 9 months ago
• HuangLK / transpeeder
  train llama on a single A100 80G node using 🤗 transformers and 🚀 Deepspeed Pipeline Parallelism
  ☆221Updated last year
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆243Updated last year
• Strivin0311 / long-llms-learning
  A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks
  ☆263Updated 10 months ago