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 981–990 of 1135 papers

TitleStatusHype
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
How Can Recommender Systems Benefit from Large Language Models: A SurveyCode3
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesCode4
"Are you telling me to put glasses on the dog?'' Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset—0
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One DayCode4
STEVE-1: A Generative Model for Text-to-Behavior in MinecraftCode2
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User InterfacesCode1
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionCode2
Controllable Text-to-Image Generation with GPT-4—0
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following AgentsCode0
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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