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 961–970 of 1135 papers

TitleStatusHype
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification RequestsCode0
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models—0
Multilingual Instruction Tuning With Just a Pinch of Multilinguality—0
SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM—0
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts—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