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 501–510 of 1135 papers

TitleStatusHype
Instruction-Following Pruning for Large Language Models—0
Instruction-Following Speech Recognition—0
Space-LLaVA: a Vision-Language Model Adapted to Extraterrestrial Applications—0
DataMan: Data Manager for Pre-training Large Language Models—0
Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge—0
ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control—0
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors—0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
HyperCLOVA X Technical Report—0
Data Diversity Matters for Robust Instruction Tuning—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