Alternatives and similar repositories for Awesome-LLMs-ICLR-24

Users that are interested in Awesome-LLMs-ICLR-24 are comparing it to the libraries listed below

• Dereck0602 / Awesome_Test_Time_LLMs
  ☆114Updated 4 months ago
• dongxiangjue / Awesome-LLM-Self-Improvement
  A curated list of awesome LLM Inference-Time Self-Improvement (ITSI, pronounced "itsy") papers from our recent survey: A Survey on Large …
  ☆85Updated 6 months ago
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆149Updated 4 months ago
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆70Updated 3 weeks ago
• Glaciohound / LM-Steer
  Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
  ☆121Updated this week
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆59Updated last year
• Luckfort / CD
  [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  ☆79Updated 5 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆77Updated last month
• yihedeng9 / rlhf-summary-notes
  A brief and partial summary of RLHF algorithms.
  ☆131Updated 4 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆114Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆122Updated last year
• ZHZisZZ / modpo
  [ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
  ☆83Updated 10 months ago
• Furyton / awesome-language-model-analysis
  This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…
  ☆85Updated 7 months ago
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆101Updated last month
• declare-lab / trust-align
  Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…
  ☆61Updated 4 months ago
• DevoAllen / Awesome-Reasoning-Economy-Papers
  Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models
  ☆110Updated last month
• ruocwang / mixture-of-prompts
  [ICML 2024] One Prompt is Not Enough: Automated Construction of a Mixture-of-Expert Prompts - TurningPoint AI
  ☆26Updated 9 months ago
• shuyhere / Awesome-Sparse-Autoencoder
  Collection of Reverse Engineering in Large Model
  ☆33Updated 6 months ago
• Lingkai-Kong / RE-Control
  Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective
  ☆32Updated 5 months ago
• ucl-dark / llm_debate
  Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"
  ☆112Updated last year
• multimodal-art-projection / LatentCoT-Horizon
  📖 This is a repository for organizing papers, codes, and other resources related to Latent Reasoning.
  ☆130Updated this week
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆172Updated 3 months ago
• franciscoliu / Awesome-GenAI-Unlearning
  ☆153Updated 3 months ago
• VLKEB / VLKEB
  ☆55Updated 8 months ago
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆61Updated 7 months ago
• ZFancy / awesome-activation-engineering
  A curated list of resources for activation engineering
  ☆95Updated last month
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆108Updated last year
• chendl02 / Awesome-LLM-Causal-Reasoning
  [NAACL 25 main] Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.
  ☆71Updated 4 months ago
• Vance0124 / Token-level-Direct-Preference-Optimization
  Reference implementation for Token-level Direct Preference Optimization(TDPO)
  ☆141Updated 5 months ago
• tmlr-group / landscape-of-thoughts
  [ICLR 2025 Workshop] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"
  ☆30Updated 3 weeks ago