Alternatives and similar repositories for SysBench:

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

• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆43Updated 7 months ago
• Abbey4799 / CELLO
  Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)
  ☆46Updated 9 months ago
• qinyiwei / InfoBench
  ☆52Updated 5 months ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆31Updated 4 months ago
• PKU-Baichuan-MLSystemLab / CFBench
  CFBench: A Comprehensive Constraints-Following Benchmark for LLMs
  ☆27Updated 5 months ago
• fanqiwan / KCA
  EMNLP'2024: Knowledge Verification to Nip Hallucination in the Bud
  ☆22Updated 10 months ago
• PlusLabNLP / Active-IT
  Code for our EMNLP-2023 paper: "Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks"
  ☆24Updated last year
• YJiangcm / FollowBench
  Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"
  ☆94Updated last month
• thu-coai / ComplexBench
  Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)
  ☆60Updated this week
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆82Updated 3 months ago
• yuleiqin / fantastic-data-engineering
  Fantastic Data Engineering for Large Language Models
  ☆67Updated last month
• RUC-GSAI / Llama-3-SynE
  Llama-3-SynE: A Significantly Enhanced Version of Llama-3 with Advanced Scientific Reasoning and Chinese Language Capabilities | 继续预训练提升 …
  ☆31Updated last month
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated last year
• yyDing1 / ScaleQuest
  We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.
  ☆58Updated 3 months ago
• ChiyuSONG / dynamics-of-instruction-tuning
  ☆16Updated 11 months ago
• DAMO-NLP-SG / TempReason
  ☆29Updated last year
• RUCAIBox / HaluEval-2.0
  ☆38Updated last year
• xlang-ai / BRIGHT
  BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
  ☆68Updated last month
• TsinghuaC3I / Intuitive-Fine-Tuning
  Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
  ☆24Updated 5 months ago
• GAIR-NLP / OPO
  ☆48Updated 10 months ago
• ZeroYuHuang / Transformer-Patcher
  ☆29Updated last year
• mtbench101 / mt-bench-101
  [ACL 2024] MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
  ☆66Updated 6 months ago
• shizhediao / Post-Training-Data-Flywheel
  We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.
  ☆48Updated 3 months ago
• QwenLM / online_merging_optimizers
  Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment
  ☆71Updated 7 months ago
• RUCAIBox / LLM-Knowledge-Boundary
  Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"
  ☆79Updated 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…
  ☆106Updated 6 months ago
• tianyi-lab / Superfiltering
  [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
  ☆138Updated 4 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆66Updated 2 weeks ago
• Junjie-Ye / ToolEyes
  [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
  ☆64Updated last month
• oriyor / ret-robust
  Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"
  ☆65Updated 5 months ago