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 611–620 of 1135 papers

TitleStatusHype
DEM: Distribution Edited Model for Training with Mixed Data Distributions—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
DecIF: Improving Instruction-Following through Meta-Decomposition—0
How Many Instructions Can LLMs Follow at Once?—0
How well can LLMs Grade Essays in Arabic?—0
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
DataMan: Data Manager for Pre-training Large Language Models—0
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval—0
If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs—0
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors—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