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 461–470 of 1135 papers

TitleStatusHype
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
KITE: Keypoint-Conditioned Policies for Semantic Manipulation—0
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions—0
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment—0
Improving Reward Models with Synthetic Critiques—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets—0
Improving Instruct Models for Free: A Study on Partial Adaptation—0
Improving Instruction-Following in Language Models through Activation Steering—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