Alternatives and similar repositories for Retrieval_Head:

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

• princeton-nlp / ProLong
  Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"
  ☆163Updated last week
• princeton-nlp / HELMET
  The HELMET Benchmark
  ☆120Updated this week
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆102Updated 3 weeks ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆130Updated 5 months ago
• da03 / Internalize_CoT_Step_by_Step
  ☆156Updated last week
• QwenLM / ProcessBench
  ☆143Updated 3 months ago
• bigai-nlco / LooGLE
  ACL 2024 | LooGLE: Long Context Evaluation for Long-Context Language Models
  ☆179Updated 5 months ago
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆97Updated 3 months ago
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆53Updated 5 months ago
• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆184Updated 10 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆118Updated 6 months ago
• for-ai / parameter-efficient-moe
  ☆253Updated last year
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆130Updated 3 weeks ago
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆90Updated 2 weeks ago
• allenai / WildBench
  Benchmarking LLMs with Challenging Tasks from Real Users
  ☆218Updated 4 months ago
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆153Updated 9 months ago
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆158Updated 8 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆99Updated 5 months ago
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆144Updated 5 months ago
• Glaciohound / LM-Infinite
  Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"
  ☆136Updated this week
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆70Updated 3 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆153Updated 8 months ago
• roeehendel / icl_task_vectors
  ☆92Updated last year
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆149Updated last year
• PRIME-RL / ImplicitPRM
  Repo of paper "Free Process Rewards without Process Labels"
  ☆133Updated this week
• 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…
  ☆108Updated 8 months ago
• thu-wyz / inference_scaling
  ☆60Updated 4 months ago
• getao / icae
  The repo for In-context Autoencoder
  ☆114Updated 10 months ago