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 451–460 of 1135 papers

TitleStatusHype
LLaVA-Pose: Enhancing Human Pose and Action Understanding via Keypoint-Integrated Instruction TuningCode0
Bridging Offline and Online Reinforcement Learning for LLMs—0
Multi-lingual Functional Evaluation for Large Language Models—0
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models—0
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent—0
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers—0
Instruction Following by Boosting Attention of Large Language Models—0
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization—0
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction—0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
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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