THUDM / LongBenchLinks
LongBench v2 and LongBench (ACL 25'&24')
☆936Updated 6 months ago
Alternatives and similar repositories for LongBench
Users that are interested in LongBench are comparing it to the libraries listed below
Sorting:
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆977Updated 7 months ago
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆343Updated 10 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆561Updated 7 months ago
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks☆265Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆626Updated last year
- Fast inference from large lauguage models via speculative decoding☆791Updated 11 months ago
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆736Updated 4 months ago
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆388Updated last year
- A series of technical report on Slow Thinking with LLM☆713Updated last month
- ☆857Updated last month
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆474Updated 9 months ago
- [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.☆245Updated 9 months ago
- An Efficient "Factory" to Build Multiple LoRA Adapters☆330Updated 5 months ago
- ☆544Updated 7 months ago
- A flexible and efficient training framework for large-scale alignment tasks☆395Updated this week
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆431Updated 9 months ago
- Best practice for training LLaMA models in Megatron-LM☆659Updated last year
- [NAACL'24] Self-data filtering of LLM instruction-tuning data using a novel perplexity-based difficulty score, without using any other mo…☆381Updated last month
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆912Updated 5 months ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆373Updated last year
- Collaborative Training of Large Language Models in an Efficient Way☆416Updated 11 months ago
- ☆319Updated last year
- ☆953Updated 6 months ago
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆468Updated last year
- Awesome-LLM-Eval: a curated list of tools, datasets/benchmark, demos, leaderboard, papers, docs and models, mainly for Evaluation on LLMs…☆555Updated 9 months ago
- ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)☆654Updated 6 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆546Updated last year
- Collection of training data management explorations for large language models☆329Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆739Updated 10 months ago
- Efficient Training (including pre-training and fine-tuning) for Big Models☆604Updated 2 months ago