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 471–480 of 1135 papers

TitleStatusHype
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
DEM: Distribution Edited Model for Training with Mixed Data Distributions—0
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning—0
Leveraging LLMs for Influence Path Planning in Proactive Recommendation—0
Benchmarking and Improving Generator-Validator Consistency of Language Models—0
Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models—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