swj0419 / detect-pretrain-code

Related projects: ⓘ

• allenai / WildBench
  Benchmarking LLMs with Challenging Tasks from Real Users
  ☆182Updated last month
• PKU-Alignment / beavertails
  BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).
  ☆99Updated 10 months ago
• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆148Updated 3 months ago
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆405Updated 4 months ago
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆144Updated 6 months ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆221Updated 5 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly"
  ☆121Updated 3 months ago
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning"
  ☆87Updated 2 months ago
• sambanova / toolbench
  ToolBench, an evaluation suite for LLM tool manipulation capabilities.
  ☆134Updated 6 months ago
• zorazrw / awesome-tool-llm
  ☆170Updated last month
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆46Updated this week
• xingyaoww / mint-bench
  Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…
  ☆100Updated 3 months ago
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆148Updated 6 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆134Updated 2 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆84Updated 5 months ago
• HITsz-TMG / awesome-llm-attributions
  A Survey of Attributions for Large Language Models
  ☆155Updated 3 weeks ago
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆337Updated 2 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆104Updated 2 months ago
• nightdessert / Retrieval_Head
  open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
  ☆135Updated last month
• OpenSafetyLab / SALAD-BENCH
  【ACL 2024】 SALAD benchmark & MD-Judge
  ☆81Updated this week
• princeton-nlp / AutoCompressors
  [EMNLP 2023] Adapting Language Models to Compress Long Contexts
  ☆268Updated last week
• GAIR-NLP / auto-j
  Generative Judge for Evaluating Alignment
  ☆208Updated 8 months ago
• LaMP-Benchmark / LaMP
  Codes for papers on Large Language Models Personalization (LaMP)
  ☆102Updated 5 months ago
• OFA-Sys / gsm8k-ScRel
  Codes and Data for Scaling Relationship on Learning Mathematical Reasoning with Large Language Models
  ☆208Updated last week
• xiaoya-li / Instruction-Tuning-Survey
  Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
  ☆134Updated 6 months ago
• SqueezeAILab / LLM2LLM
  [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
  ☆143Updated 5 months ago
• kaistAI / CoT-Collection
  [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
  ☆201Updated 10 months ago
• Re-Align / just-eval
  A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.
  ☆73Updated 7 months ago
• Spico197 / Humback
  🐋 An unofficial implementation of Self-Alignment with Instruction Backtranslation.
  ☆128Updated 2 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆96Updated last week