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

Showing 11261135 of 1135 papers

TitleStatusHype
Learning To Follow Directions in Street ViewCode0
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following0
Learning to Navigate the Web0
Guiding Policies with Language via Meta-LearningCode0
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation PredictionCode0
Mapping Instructions to Actions in 3D Environments with Visual Goal PredictionCode0
Neural Semantic Parsing0
Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation LearningCode1
Grounding Language by Continuous Observation of Instruction Following0
Alignment-based compositional semantics for instruction followingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified