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 421–430 of 1135 papers

TitleStatusHype
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization—0
CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing ConstraintsCode0
Self-Powered LLM Modality Expansion for Large Speech-Text ModelsCode0
SAG: Style-Aligned Article Generation via Model Collaboration—0
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data PartitionsCode0
TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation—0
Better Instruction-Following Through Minimum Bayes Risk—0
Video Instruction Tuning With Synthetic Data—0
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model—0
LLaVA-Critic: Learning to Evaluate Multimodal Models—0
Show:102550
← PrevPage 43 of 114Next →

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