WowCZ / LongMITLinks
LongMIT: Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets
β40Updated last year
Alternatives and similar repositories for LongMIT
Users that are interested in LongMIT are comparing it to the libraries listed below
Sorting:
- [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Modelsβ58Updated last year
- πΌ Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Expertsβ41Updated last year
- Code for paper "Nearest Neighbor Knowledge Distillation for Neural Machine Translation" by Zhixian Yang, Renliang Sun, and Xiaojun Wan. Tβ¦β32Updated 3 years ago
- Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Modelsβ23Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodingsβ167Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.β63Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Modelsβ194Updated last year
- [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Modelsβ117Updated 6 months ago
- A retrieval augmented sequence modeling toolkit implemented based on Fairseqβ29Updated 2 years ago
- Explore what LLMs are really leanring over SFTβ28Updated last year
- [ICLR 2025] 𧬠RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)β181Updated 9 months ago
- Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"β240Updated 3 months ago
- β57Updated last year
- β55Updated last year
- an easy-to-use knn-mt toolkitβ106Updated 2 years ago
- β108Updated 4 months ago
- [ACL 2025, Main Conference, Oral] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Processβ30Updated last year
- This is the official code for our paper "Simple and Scalable Nearest Neighbor Machine Translation" (ICLR 2023).β14Updated 2 years ago
- Codes for our paper "Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation" (EMNLP 2023 Findings)β46Updated 2 years ago
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"β78Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?β86Updated last year
- Official Implementation for the ICLR2023 paper "Fuzzy Alignments in Directed Acyclic Graph for Non-autoregressive Machine Translation"β13Updated 2 years ago
- A curated list of awesome resources dedicated to Scaling Laws for LLMsβ80Updated 2 years ago
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learningβ40Updated 2 years ago
- Official codebase for βIn-Context Learning with Many Demonstration Examplesββ16Updated 2 years ago
- [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialoguesβ130Updated last year
- [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspectiveβ38Updated 2 years ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".β82Updated 11 months ago
- β69Updated last year
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":β40Updated last year