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 871–880 of 1135 papers

TitleStatusHype
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly DetectionCode1
Privately Aligning Language Models with Reinforcement Learning—0
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment—0
Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper—0
Instruct and Extract: Instruction Tuning for On-Demand Information ExtractionCode1
Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic—0
AlpaCare:Instruction-tuned Large Language Models for Medical ApplicationCode1
Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst DesignCode1
BotChat: Evaluating LLMs' Capabilities of Having Multi-Turn DialoguesCode1
Democratizing Reasoning Ability: Tailored Learning from Large Language ModelCode1
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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