PKU-Baichuan-MLSystemLab / SysBench

Related projects ⓘ

Alternatives and complementary repositories for SysBench

• PlusLabNLP / Active-IT
  Code for our EMNLP-2023 paper: "Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks"
  ☆23Updated 11 months ago
• ChiyuSONG / dynamics-of-instruction-tuning
  ☆16Updated 8 months ago
• Abbey4799 / CELLO
  Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)
  ☆44Updated 6 months ago
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆35Updated last year
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆28Updated 2 months ago
• DAMO-NLP-SG / TempReason
  ☆27Updated 9 months ago
• gao-xiao-bai / JsonTuning
  JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
  ☆10Updated last week
• thu-coai / ComplexBench
  ☆51Updated 3 months ago
• PKU-Baichuan-MLSystemLab / CFBench
  CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
  ☆24Updated 2 months ago
• krystalan / chatgpt_as_nlg_evaluator
  Technical Report: Is ChatGPT a Good NLG Evaluator? A Preliminary Study
  ☆42Updated last year
• KwanWaiChung / MT-Eval
  Code and data for "MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models"
  ☆30Updated 3 weeks ago
• ZeroYuHuang / Transformer-Patcher
  ☆26Updated last year
• RUCAIBox / HaluEval-2.0
  ☆36Updated 10 months ago
• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆37Updated 4 months ago
• RUCAIBox / LLM-Knowledge-Boundary
  Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"
  ☆77Updated last year
• qinyiwei / InfoBench
  ☆47Updated 2 months ago
• YJiangcm / FollowBench
  Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"
  ☆86Updated last week
• Lukeming-tsinghua / Instruction-Tuning-for-Open-world-IE
  ☆21Updated last year
• yunx-z / COMBO
  Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)
  ☆22Updated last year
• artpli / CodeIE
  [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
  ☆34Updated 5 months ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆39Updated last year
• Shark-NLP / self-adaptive-ICL
  self-adaptive in-context learning
  ☆41Updated last year
• TianHongZXY / CoRe
  [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models
  ☆40Updated 10 months ago
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆61Updated 3 months ago
• qiancheng0 / CREATOR
  This is the repository for paper "CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models"
  ☆22Updated last year
• ChengpengLi1003 / DotaMath
  ☆25Updated last month
• TsinghuaC3I / Intuitive-Fine-Tuning
  Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  ☆22Updated 3 months ago
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆71Updated 2 weeks ago
• fanqiwan / KCA
  EMNLP'2024: Knowledge Verification to Nip Hallucination in the Bud
  ☆19Updated 8 months ago
• ShiyuNee / When-to-Retrieve
  Implementation of "ACL'24: When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation"
  ☆19Updated 3 months ago