SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

Showing 141150 of 1135 papers

TitleStatusHype
Learning to Decode Collaboratively with Multiple Language ModelsCode2
AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionCode2
CrystalFormer-RL: Reinforcement Fine-Tuning for Materials DesignCode2
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsCode2
Large Language Model Instruction Following: A Survey of Progresses and ChallengesCode2
EditWorld: Simulating World Dynamics for Instruction-Following Image EditingCode2
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward SystemsCode2
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective AnalysisCode2
InFoBench: Evaluating Instruction Following Ability in Large Language ModelsCode2
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language ModelCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified