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 626–650 of 1135 papers

TitleStatusHype
Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling—0
ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration—0
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models—0
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models—0
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
Compositional Instruction Following with Language Models and Reinforcement Learning—0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model—0
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking—0
BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues—0
DNA 1.0 Technical Report—0
Iterative Label Refinement Matters More than Preference Optimization under Weak SupervisionCode0
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
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction—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
LongViTU: Instruction Tuning for Long-Form Video Understanding—0
Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models—0
DPO Kernels: A Semantically-Aware, Kernel-Enhanced, and Divergence-Rich Paradigm for Direct Preference Optimization—0
Instruction-Following Pruning for Large Language Models—0
Towards Interactive Deepfake AnalysisCode0
ProgCo: Program Helps Self-Correction of Large Language ModelsCode0
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal OutputCode0
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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