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 1120 of 1135 papers

TitleStatusHype
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackCode7
Chinese-Vicuna: A Chinese Instruction-following Llama-based ModelCode7
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation DatasetCode7
Align Anything: Training All-Modality Models to Follow Instructions with Language FeedbackCode7
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildCode7
Step-Audio: Unified Understanding and Generation in Intelligent Speech InteractionCode7
HealthBench: Evaluating Large Language Models Towards Improved Human HealthCode7
Code Llama: Open Foundation Models for CodeCode6
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyCode6
L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsCode6
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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