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 226–250 of 1135 papers

TitleStatusHype
Adaptive Markup Language Generation for Contextually-Grounded Visual Document UnderstandingCode1
Instruction-Tuning Data Synthesis from Scratch via Web ReconstructionCode1
A Dual-Space Framework for General Knowledge Distillation of Large Language ModelsCode1
RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World UsersCode1
Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual LearningCode1
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security InspectionCode1
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset ConstructionCode1
Can Language Models Follow Multiple Turns of Entangled Instructions?Code1
REF-VLM: Triplet-Based Referring Paradigm for Unified Visual DecodingCode1
FuseChat-3.0: Preference Optimization Meets Heterogeneous Model FusionCode1
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM WisdomCode1
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code GenerationCode1
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction FollowingCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
IHEval: Evaluating Language Models on Following the Instruction HierarchyCode1
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