Alternatives and similar repositories for API-BLEND

Users that are interested in API-BLEND are comparing it to the libraries listed below

• 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
• HowieHwong / MetaTool
  [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
  ☆106Updated last year
• DAMO-NLP-SG / contrastive-cot
  Contrastive Chain-of-Thought Prompting
  ☆68Updated 2 years ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆65Updated last year
• allenai / DecomP
  Repository for Decomposed Prompting
  ☆95Updated 2 years ago
• csitfun / LogiCoT
  the instructions and demonstrations for building a formal logical reasoning capable GLM
  ☆55Updated last year
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆73Updated 8 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆53Updated 7 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆102Updated 2 years ago
• BeastyZ / LLM-Verified-Retrieval
  Repo for Llatrieval
  ☆31Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• KwanWaiChung / MT-Eval
  Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"
  ☆51Updated 2 months ago
• FranxYao / Complexity-Based-Prompting
  Complexity Based Prompting for Multi-Step Reasoning
  ☆17Updated 2 years ago
• RUCAIBox / LLM-Knowledge-Boundary
  Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"
  ☆82Updated 2 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆42Updated 2 years ago
• Reason-Wang / NAT
  [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…
  ☆28Updated last year
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆75Updated last year
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆31Updated last year
• Yifan-Song793 / ETO
  Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents (ACL 2024 Main Conference)
  ☆160Updated last year
• 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…
  ☆129Updated 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…
  ☆132Updated last year
• FreedomIntelligence / OVM
  ☆72Updated last year
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated 2 years ago
• feyzaakyurek / rl4f
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Updated last year
• NumberChiffre / mcts-llm
  ☆97Updated last year
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated last year
• liujch1998 / rainier
  ☆28Updated last year
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆93Updated last year
• Open-Source-O1 / o1_Reasoning_Patterns_Study
  ☆104Updated last year
• sunlab-osu / Understanding-CoT
  ☆88Updated 2 years ago