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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1031–1040 of 1135 papers

TitleStatusHype
Inverse Reinforcement Learning with Natural Language Goals—0
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?—0
Investigating Non-Transitivity in LLM-as-a-Judge—0
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation—0
IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization—0
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages—0
Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis—0
Iterative Value Function Optimization for Guided Decoding—0
Iterative Vision-and-Language Navigation—0
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent—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