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 951–960 of 1135 papers

TitleStatusHype
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting—0
Policy Improvement using Language Feedback ModelsCode0
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation—0
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs—0
Nevermind: Instruction Override and Moderation in Large Language Models—0
Vision-Language Models Provide Promptable Representations for Reinforcement Learning—0
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias IndicatorsCode0
Instruction Makes a DifferenceCode0
Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding—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