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 651–660 of 1135 papers

TitleStatusHype
SLADE: Shielding against Dual Exploits in Large Vision-Language Models—0
HSI-GPT: A General-Purpose Large Scene-Motion-Language Model for Human Scene Interaction—0
Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following—0
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language ModelsCode0
Internalized Self-Correction for Large Language Models—0
LearnLM: Improving Gemini for Learning—0
HREF: Human Response-Guided Evaluation of Instruction Following in Language ModelsCode0
Systematic Evaluation of Long-Context LLMs on Financial Concepts—0
Length Controlled Generation for Black-box LLMs—0
Pipeline Analysis for Developing Instruct LLMs in Low-Resource Languages: A Case Study on Basque—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