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 10711080 of 1135 papers

TitleStatusHype
Less is More: Generating Grounded Navigation Instructions from Landmarks0
Explicit Object Relation Alignment for Vision and Language Navigation0
Skill Induction and Planning with Latent Language0
Guiding Multi-Step Rearrangement Tasks with Natural Language InstructionsCode1
Compositional Data and Task Augmentation for Instruction Following0
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following0
FILM: Following Instructions in Language with Modular MethodsCode1
Waypoint Models for Instruction-guided Navigation in Continuous EnvironmentsCode1
Hierarchical Modular Framework for Long Horizon Instruction FollowingCode0
Procedures as Programs: Hierarchical Control of Situated Agents through Natural Language0
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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