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

Showing 451475 of 1135 papers

TitleStatusHype
LLaVA-Pose: Enhancing Human Pose and Action Understanding via Keypoint-Integrated Instruction TuningCode0
Bridging Offline and Online Reinforcement Learning for LLMs0
Multi-lingual Functional Evaluation for Large Language Models0
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models0
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent0
Treasure Hunt: Real-time Targeting of the Long Tail using Training-Time Markers0
LeVERB: Humanoid Whole-Body Control with Latent Vision-Language Instruction0
Instruction Following by Boosting Attention of Large Language Models0
Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following0
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation LearningCode0
AC/DC: LLM-based Audio Comprehension via Dialogue Continuation0
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
Conversational Search: From Fundamentals to Frontiers in the LLM Era0
Magistral0
Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models0
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being0
LLaVA-c: Continual Improved Visual Instruction Tuning0
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language ModelsCode0
Aligning Text, Images, and 3D Structure Token-by-Token0
Video Unlearning via Low-Rank Refusal Vector0
Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning FrameworkCode0
Audio-Aware Large Language Models as Judges for Speaking Styles0
Identifying Reliable Evaluation Metrics for Scientific Text RevisionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified