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 241–250 of 1135 papers

TitleStatusHype
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language ModelsCode1
M-IFEval: Multilingual Instruction-Following EvaluationCode1
UltraIF: Advancing Instruction Following from the WildCode1
Online Preference Alignment for Language Models via Count-based ExplorationCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction FollowingCode1
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
Demystifying Domain-adaptive Post-training for Financial LLMsCode1
TinyHelen's First Curriculum: Training and Evaluating Tiny Language Models in a Simpler Language EnvironmentCode1
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language 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