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 251–275 of 1135 papers

TitleStatusHype
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models—0
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to ImitateCode2
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingCode11
MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMsCode2
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
How well can LLMs Grade Essays in Arabic?—0
Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages—0
The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling CapabilitiesCode3
Online Preference Alignment for Language Models via Count-based ExplorationCode1
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual FeedbackCode2
Compositional Instruction Following with Language Models and Reinforcement Learning—0
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelCode3
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
DNA 1.0 Technical Report—0
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction FollowingCode1
Iterative Label Refinement Matters More than Preference Optimization under Weak SupervisionCode0
Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual AwarenessCode1
Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model—0
A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context—0
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models—0
Scalable Vision Language Model Training via High Quality Data Curation—0
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction—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