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

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Showing 771–780 of 1135 papers

TitleStatusHype
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being—0
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation—0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward—0
RNR: Teaching Large Language Models to Follow Roles and Rules—0
Assessing Robustness to Spurious Correlations in Post-Training Language Models—0
Robust Anti-Backdoor Instruction Tuning in LVLMs—0
Robust Instruction-Following in a Situated Agent via Transfer-Learning from Text—0
Robust Learning of Diverse Code Edits—0
Role-Play Zero-Shot Prompting with Large Language Models for Open-Domain Human-Machine Conversation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified