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 271–280 of 1135 papers

TitleStatusHype
Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model—0
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context—0
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction—0
Scalable Vision Language Model Training via High Quality Data Curation—0
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models—0
Demystifying Domain-adaptive Post-training for Financial LLMsCode1
LongViTU: Instruction Tuning for Long-Form Video Understanding—0
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models—0
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization—0
Instruction-Following Pruning for Large Language Models—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