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 921–930 of 1135 papers

TitleStatusHype
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction WrappingCode0
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis—0
Efficient Finetuning Large Language Models For Vietnamese Chatbot—0
ImageBind-LLM: Multi-modality Instruction TuningCode5
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning—0
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics DomainsCode0
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking—0
Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction FollowingCode2
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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