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 381–390 of 1135 papers

TitleStatusHype
Back to the Future: Towards Explainable Temporal Reasoning with Large Language ModelsCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with TransformersCode1
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context LearningCode1
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction TuningCode1
AceGPT, Localizing Large Language Models in ArabicCode1
Natural Language Embedded Programs for Hybrid Language Symbolic ReasoningCode1
TextBind: Multi-turn Interleaved Multimodal Instruction-following in the WildCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following ModelsCode1
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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