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 751–760 of 1135 papers

TitleStatusHype
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
LLMs can be easily Confused by Instructional Distractions—0
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints—0
LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements—0
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following—0
Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V—0
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation—0
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model—0
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation—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