Alternatives and similar repositories for tttlm

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

• ryoungj / BoLT
  Code for "Reasoning to Learn from Latent Thoughts"
  ☆124Updated 8 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆92Updated last month
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆187Updated last year
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆148Updated 5 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆125Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆63Updated 4 months ago
• roeehendel / icl_task_vectors
  ☆103Updated 2 years ago
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆188Updated 8 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆51Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆158Updated 6 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 8 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆24Updated last year
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆70Updated 8 months ago
• mmatena / model_merging
  ☆80Updated 3 years ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆68Updated last year
• MadryLab / DsDm
  ☆51Updated last year
• liziniu / GEM
  Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
  ☆48Updated 7 months ago
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆59Updated last year
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆107Updated 2 months ago
• hkust-nlp / dart-math
  [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*
  ☆119Updated last year
• thu-wyz / inference_scaling
  ☆76Updated last year
• 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…
  ☆85Updated 2 weeks ago
• VITA-Group / SEAL
  [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆47Updated 8 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆51Updated 9 months ago
• lmarena / PPE
  ☆60Updated 7 months ago
• Parallel-Reasoning / APR
  [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models
  ☆136Updated last week
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated 2 years ago
• haozheji / exact-optimization
  ICML 2024 - Official Repository for EXO: Towards Efficient Exact Optimization of Language Model Alignment
  ☆57Updated last year
• Kwai-Klear / RLEP
  RL with Experience Replay
  ☆51Updated 4 months ago