Alternatives and similar repositories for Attention-Sink

Users that are interested in Attention-Sink are comparing it to the libraries listed below

• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆87Updated last month
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆46Updated last year
• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆122Updated 7 months ago
• Joshua-Ren / Learning_dynamics_LLM
  ☆181Updated 5 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆185Updated last year
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆104Updated last month
• sail-sg / AnytimeReasoner
  Optimizing Anytime Reasoning via Budget Relative Policy Optimization
  ☆47Updated 4 months ago
• OpenSparseLLMs / MoM
  ☆106Updated last month
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆131Updated 8 months ago
• UCSB-NLP-Chang / ThinkPrune
  ☆45Updated last month
• qiuzh20 / gated_attention
  The official implementation for [NeurIPS2025 Oral] Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink…
  ☆101Updated last month
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆87Updated 9 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆68Updated 7 months ago
• ruixin31 / Spurious_Rewards
  ☆336Updated 3 months ago
• haonan3 / AnchorContext
  AnchorAttention: Improved attention for LLMs long-context training
  ☆213Updated 9 months ago
• waltonfuture / Diff-eRank
  [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models
  ☆54Updated 5 months ago
• HKUNLP / diffusion-of-thoughts
  [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
  ☆182Updated 8 months ago
• MingyuJ666 / Rope_with_LLM
  [ICML'25] Our study systematically investigates massive values in LLMs' attention mechanisms. First, we observe massive values are concen…
  ☆80Updated 4 months ago
• Infini-AI-Lab / Multiverse
  ☆101Updated 2 months ago
• ZhentingWang / DUMP
  ☆32Updated 6 months ago
• rdi-berkeley / awesome-RLVR-boundary
  A curated list of resources on Reinforcement Learning with Verifiable Rewards (RLVR) and the reasoning capability boundary of Large Langu…
  ☆74Updated 3 weeks ago
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆51Updated last month
• yihedeng9 / rlhf-summary-notes
  A brief and partial summary of RLHF algorithms.
  ☆136Updated 8 months ago
• hanyang1999 / discrete-diffusion-papers
  A collection of papers on discrete diffusion models
  ☆166Updated 4 months ago
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆89Updated last year
• bigai-nlco / LatentSeek
  Official Repository of LatentSeek
  ☆67Updated 5 months ago
• hkust-nlp / mstar
  [ICML 2025] M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆69Updated 4 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆65Updated 3 months ago
• GeniusHTX / TALE
  ☆135Updated 2 months ago
• Optimization-AI / DisCO
  Discriminative Constrained Optimization for Reinforcing Large Reasoning Models
  ☆43Updated last week