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 511–520 of 1135 papers

TitleStatusHype
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels—0
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training—0
Domain Adaptation of VLM for Soccer Video Understanding—0
What Prompts Don't Say: Understanding and Managing Underspecification in LLM PromptsCode0
Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers—0
Multi-Level Aware Preference Learning: Enhancing RLHF for Complex Multi-Instruction Tasks—0
KIT's Offline Speech Translation and Instruction Following Submission for IWSLT 2025—0
Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers—0
CompBench: Benchmarking Complex Instruction-guided Image Editing—0
Enhancing Complex Instruction Following for Large Language Models with Mixture-of-Contexts Fine-tuning—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