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 621–630 of 1135 papers

TitleStatusHype
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model—0
Shuttle Between the Instructions and the Parameters of Large Language Models—0
CoDe: Blockwise Control for Denoising Diffusion ModelsCode0
Learning Human Perception Dynamics for Informative Robot Communication—0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
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
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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