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 261–270 of 1135 papers

TitleStatusHype
Compositional Instruction Following with Language Models and Reinforcement Learning—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelCode3
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
DNA 1.0 Technical Report—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction FollowingCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
Iterative Label Refinement Matters More than Preference Optimization under Weak SupervisionCode0
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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