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 571–580 of 1135 papers

TitleStatusHype
Refine Large Language Model Fine-tuning via Instruction Vector—0
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat TemplatesCode1
Grade Score: Quantifying LLM Performance in Option SelectionCode0
Generative Visual Instruction TuningCode0
Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
WPO: Enhancing RLHF with Weighted Preference OptimizationCode1
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
Refusal in Language Models Is Mediated by a Single DirectionCode3
Embodied Instruction Following in Unknown Environments—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