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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 901–910 of 1135 papers

TitleStatusHype
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations—0
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking—0
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning—0
FLAME: Factuality-Aware Alignment for Large Language Models—0
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning—0
Domain Adaptation of VLM for Soccer Video Understanding—0
FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management—0
GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents—0
FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models—0
StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation—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