Alternatives and similar repositories for self-infilling

Users that are interested in self-infilling are comparing it to the libraries listed below

• chang-github-00 / LLM-Predictive-Decoding
  ☆14Updated 3 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated last year
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆29Updated 10 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆123Updated last year
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆30Updated last year
• zorazrw / trove
  [ICML'24] TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
  ☆30Updated last year
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆65Updated 11 months ago
• sail-sg / symbolic-instruction-tuning
  The official repository for the paper "From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning".
  ☆66Updated 2 years ago
• sauc-abadal / ALT
  Official repository for ALT (ALignment with Textual feedback).
  ☆10Updated last year
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆27Updated last year
• FreedomIntelligence / OVM
  ☆69Updated last year
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• swtheing / PF-PPO-RLHF
  ☆34Updated last year
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆78Updated 2 years ago
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆69Updated this week
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• SumilerGAO / SunGen
  ☆27Updated 2 years ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆16Updated 9 months ago
• halfrot / ALaRM
  [ACL 2024] Code for the paper "ALaRM: Align Language Models via Hierarchical Rewards Modeling"
  ☆25Updated last year
• swj0419 / in-context-pretraining
  ☆54Updated last year
• liziniu / GEM
  Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)
  ☆41Updated 5 months ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆62Updated 11 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆57Updated last year
• gl-ybnbxb / BoNBoN
  ☆18Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• Re-Align / AlignTDS
  Analyzing LLM Alignment via Token distribution shift
  ☆17Updated last year
• 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…
  ☆130Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 6 months ago