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 831–840 of 1135 papers

TitleStatusHype
SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning—0
SIFToM: Robust Spoken Instruction Following through Theory of Mind—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains—0
Situated Instruction Following—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
Skill Induction and Planning with Latent Language—0
Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models—0
SLADE: Shielding against Dual Exploits in Large Vision-Language Models—0
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding—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