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 461–470 of 1135 papers

TitleStatusHype
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following—0
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation LearningCode0
AC/DC: LLM-based Audio Comprehension via Dialogue Continuation—0
HalLoc: Token-level Localization of Hallucinations for Vision Language ModelsCode0
Conversational Search: From Fundamentals to Frontiers in the LLM Era—0
Magistral—0
Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models—0
LLaVA-c: Continual Improved Visual Instruction Tuning—0
RHealthTwin: Towards Responsible and Multimodal Digital Twins for Personalized Well-being—0
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language ModelsCode0
Show:102550
← PrevPage 47 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