Alternatives and similar repositories for benbench:

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

• ChengpengLi1003 / DotaMath
  ☆29Updated 2 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆55Updated 8 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆55Updated 3 months ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆44Updated 3 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆45Updated 2 months ago
• PrasannS / rlhf-length-biases
  ☆27Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated 9 months ago
• neulab / data-agora
  [arXiv preprint] Official Repository for "Evaluating Language Models as Synthetic Data Generators"
  ☆34Updated 3 months ago
• RUCAIBox / BAMBOO
  ☆34Updated 11 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆73Updated 9 months ago
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆41Updated 7 months ago
• meowpass / FollowComplexInstruction
  Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…
  ☆46Updated 9 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 6 months ago
• 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…
  ☆109Updated 8 months ago
• kaistAI / InstructIR
  IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…
  ☆31Updated 9 months ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆33Updated 6 months ago
• Reason-Wang / NAT
  The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agen…
  ☆24Updated last year
• GAIR-NLP / MoPS
  [ACL 2024] Code for "MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation"
  ☆35Updated 8 months ago
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆39Updated 2 years ago
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆96Updated 2 weeks ago
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆24Updated 3 months ago
• yuzhaouoe / pretraining-data-packing
  [ACL'24 Oral] Analysing The Impact of Sequence Composition on Language Model Pre-Training
  ☆19Updated 7 months ago
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆29Updated 9 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 6 months ago
• whyNLP / Conic10K
  Conic10K: A large-scale dataset for closed-vocabulary math problem understanding. Accepted to EMNLP2023 Findings.
  ☆25Updated last year
• chtmp223 / suri
  Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)
  ☆22Updated 4 months ago
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆49Updated last year
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆61Updated 4 months ago