yyDing1 / ScaleQuest

Related projects ⓘ

Alternatives and complementary repositories for ScaleQuest

• DAMO-NLP-SG / CLEX
  [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models
  ☆73Updated 8 months ago
• yegcjs / mixinglaws
  ☆88Updated last month
• KbsdJames / Omni-MATH
  The official repository of the Omni-MATH benchmark.
  ☆49Updated 2 weeks ago
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆56Updated 8 months ago
• songmzhang / DSKD
  Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models".
  ☆37Updated 2 weeks ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆67Updated 5 months ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆28Updated 2 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆36Updated 8 months ago
• ZetangForward / L-CITEEVAL
  L-CITEEVAL: DO LONG-CONTEXT MODELS TRULY LEVERAGE CONTEXT FOR RESPONDING?
  ☆19Updated last month
• pldlgb / nuggets
  ☆71Updated 10 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆145Updated 5 months ago
• rookie-joe / AutoPSV
  ☆30Updated 3 weeks ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆40Updated 2 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆59Updated 8 months ago
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆51Updated 3 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆63Updated last month
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆70Updated 9 months ago
• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆38Updated 4 months ago
• dvlab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆43Updated 3 weeks ago
• GAIR-NLP / ReasonEval
  Evaluating Mathematical Reasoning Beyond Accuracy
  ☆37Updated 7 months ago
• LightChen233 / reasoning-boundary
  ☆20Updated last month
• ChengpengLi1003 / DotaMath
  ☆25Updated last month
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆53Updated 3 months ago
• yuleiqin / fantastic-data-engineering
  Fantastic Data Engineering for Large Language Models
  ☆50Updated 3 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆83Updated 4 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆30Updated 3 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆35Updated 7 months ago
• sail-sg / regmix
  🧬 RegMix: Data Mixture as Regression for Language Model Pre-training
  ☆88Updated last month
• ZitongYang / Synthetic_Continued_Pretraining
  Code implementation of synthetic continued pretraining
  ☆60Updated last month
• thu-coai / ComplexBench
  ☆53Updated 4 months ago