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 541–550 of 1135 papers

TitleStatusHype
Guided Adaptive Credit Assignment for Sample Efficient Policy Optimization—0
Ground-V: Teaching VLMs to Ground Complex Instructions in Pixels—0
Creating Arabic LLM Prompts at Scale—0
Ground-level Viewpoint Vision-and-Language Navigation in Continuous Environments—0
Language Conditioned Imitation Learning over Unstructured Data—0
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents—0
Grounding Language by Continuous Observation of Instruction Following—0
CoTBal: Comprehensive Task Balancing for Multi-Task Visual Instruction Tuning—0
GROOT: Learning to Follow Instructions by Watching Gameplay Videos—0
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents—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