Alternatives and similar repositories for LMsMBTI

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

• Timothyxxx / NeuralSymbolicPapers
  ☆15Updated 3 years 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
• 3B-Group / ConvRe
  🤖ConvRe🤯: An Investigation of LLMs’ Inefficacy in Understanding Converse Relations (EMNLP 2023)
  ☆24Updated 2 years ago
• Zce1112zslx / IKE
  ☆41Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆109Updated 2 years ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆103Updated 2 years ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year
• ZhaofengWu / counterfactual-evaluation
  ☆57Updated 8 months ago
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated 2 years ago
• dki-lab / Pangu
  Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
  ☆78Updated 8 months 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
• yiqingxyq / RepoST
  Code for "[COLM'25] RepoST: Scalable Repository-Level Coding Environment Construction with Sandbox Testing"
  ☆22Updated 10 months ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆27Updated 3 years ago
• chang-github-00 / LLM-Predictive-Decoding
  ☆15Updated 7 months ago
• google-research-datasets / GSM-IC
  Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…
  ☆64Updated 2 years ago
• reasoning-machines / CoCoGen
  Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)
  ☆86Updated 2 years ago
• xiye17 / TextualExplInContext
  The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning (NeurIPS 2022)
  ☆16Updated 3 years ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆42Updated 2 years ago
• SumilerGAO / SunGen
  ☆27Updated 2 years ago
• Timothyxxx / EnvInteractiveLMPapers
  Paper collections of methods that using language to interact with environment, including interact with real world, simulated world or WWW…
  ☆129Updated 2 years ago
• archiki / ReCEval
  Supporting code for ReCEval paper
  ☆31Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Updated 2 years ago
• FranxYao / Complexity-Based-Prompting
  Complexity Based Prompting for Multi-Step Reasoning
  ☆17Updated 2 years ago
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆30Updated last year
• zorazrw / trove
  [ICML'24] TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
  ☆31Updated last year
• TIGER-AI-Lab / TIGERScore
  "TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks" [TMLR 2024]
  ☆32Updated last year
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• jiacheng-ye / ZeroGen
  [EMNLP 2022] Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.
  ☆48Updated 3 years ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• feyzaakyurek / rl4f
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Updated last year