Alternatives and similar repositories for my-tools:

Users that are interested in my-tools are comparing it to the libraries listed below

• hkust-nlp / mstar
  M-STAR (Multimodal Self-Evolving TrAining for Reasoning) Project. Diving into Self-Evolving Training for Multimodal Reasoning
  ☆55Updated last month
• GAIR-NLP / weak-to-strong-reasoning
  ☆58Updated 5 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆63Updated 11 months ago
• shuyhere / about-super-alignment
  Feeling confused about super alignment? Here is a reading list
  ☆42Updated last year
• hanningzhang / prm
  ☆14Updated 3 months ago
• MileBench / MileBench
  This repo contains evaluation code for the paper "MileBench: Benchmarking MLLMs in Long Context"
  ☆29Updated 7 months ago
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆33Updated 10 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆68Updated last month
• dvlab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆45Updated 3 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆48Updated 2 months ago
• LightChen233 / M3CoT
  ☆60Updated 8 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆53Updated 10 months ago
• RUCAIBox / CARP
  ☆16Updated 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 2 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆31Updated 6 months ago
• SihengLi99 / LLM-Honesty-Survey
  A Survey on the Honesty of Large Language Models
  ☆53Updated 2 months ago
• pkunlp-icler / IKE
  ☆24Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆77Updated last year
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆52Updated 4 months ago
• Yifan-Song793 / InfoCL
  Findings of EMNLP 2023: InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspe…
  ☆14Updated 6 months ago
• BeyonderXX / TRACE
  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
  ☆64Updated last year
• TobiasLee / VEC
  Visual and Embodied Concepts evaluation benchmark
  ☆21Updated last year
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆27Updated 7 months ago
• wangpf3 / consistent-CoT-distillation
  ☆39Updated last year
• namespace-Pt / UltraGist
  ☆17Updated 2 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆35Updated 10 months ago
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆22Updated 11 months ago
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆39Updated 3 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆60Updated last year
• WeiminXiong / RationaleCL
  Rationale-enhanced language models are better continual relation learners (EMNLP 2023 Main Conference)
  ☆12Updated last year