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 1101–1110 of 1135 papers

TitleStatusHype
AllenAct: A Framework for Embodied AI ResearchCode1
Inverse Reinforcement Learning with Natural Language Goals—0
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding in RL—0
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL—0
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
Language Conditioned Imitation Learning over Unstructured Data—0
RMM: A Recursive Mental Model for Dialog NavigationCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Following Instructions by Imagining and Reaching Visual Goals—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