DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following
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Abstract (arXiv)
Language-guided Embodied AI benchmarks requiring an agent to navigate an environment and manipulate objects typically allow one-way communication: the human user gives a natural language command to the agent, and the agent can only follow the command passively. We present DialFRED, a dialogue-enabled embodied instruction following benchmark based on the ALFRED benchmark. DialFRED allows an agent to actively ask questions to the human user; the additional information in the user's response is used by the agent to better complete its task. We release a human-annotated dataset with 53K task-relevant questions and answers and an oracle to answer questions. To solve DialFRED, we propose a questioner-performer framework wherein the questioner is pre-trained with the human-annotated data and fine-tuned with reinforcement learning. We make DialFRED publicly available and encourage researchers to propose and evaluate their solutions to building dialog-enabled embodied agents.
Key facts. Cited by 63 papers in the map (data through 7 Oct 2026). Builds on 28 of its 42 references that are in the map. First posted on arXiv 27 Feb 2022.
Builds on
28 of 42 references.
References · 28
- 2015Deep Residual Learning for Image Recognitioncited by 51,809
- 2017Matterport3D: Learning from RGB-D Data in Indoor Environmentscited by 1,354
- 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,024
- 2017Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentscited by 1,013
- 2017AI2-THOR: An Interactive 3D Environment for Visual AIcited by 850
- 2019ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Taskscited by 773
- 2018VirtualHome: Simulating Household Activities via Programscited by 411
- 2017Embodied Question Answeringcited by 335
- 2020A Simple Language Model for Task-Oriented Dialoguecited by 331
- 2020ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulationcited by 249
- 2019Vision-and-Dialog Navigationcited by 246
- 2020ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objectscited by 240
16 more
- 2021TEACh: Task-driven Embodied Agents that Chatcited by 194
- 2018Neural Approaches to Conversational AIcited by 164
- 2021Episodic Transformer for Vision-and-Language Navigationcited by 155
- 2017IQA: Visual Question Answering in Interactive Environmentscited by 154
- 2016Neural Belief Tracker: Data-Driven Dialogue State Trackingcited by 142
- 2021FILM: Following Instructions in Language with Modular Methodscited by 119
- 2019Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learningcited by 100
- 2021A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Executioncited by 91
- 2019Interactive Gibson Benchmark (iGibson 0.5): A Benchmark for Interactive Navigation in Cluttered Environmentscited by 89
- 2018Vision-based Navigation with Language-based Assistance via Imitation Learning with Indirect Interventioncited by 77
- 2019Just Ask:An Interactive Learning Framework for Vision and Language Navigationcited by 53
- 2017Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learningcited by 44
- 2020RMM: A Recursive Mental Model for Dialog Navigationcited by 32
- 2019VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learningcited by 29
- 2016On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systemscited by 28
- 2020Interactive Question Clarification in Dialogue via Reinforcement Learningcited by 4
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Citing papers per year: 2022: 6; 2023: 16; 2024: 20; 2025: 14; 2026: 7.
63 papers.
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- 2024Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialoguescited by 7
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- 2024Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues2 Dec 2024
- 2024Simulating User Agents for Embodied Conversational-AI31 Oct 2024
- 2024HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models29 Apr 2024
- 2024"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations12 Apr 2024
- 2023Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Guided Exploration for Zero-Shot Object Navigation6 Mar 2023
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- 2026Ask When It Pays: Cost-Aware Open-Ended Interaction for Instance Goal Navigation2 Jun 2026
- 2026TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning18 May 2026
- 2026Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?4 Feb 2026
- 2025VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation22 Dec 2025
- 2025What Questions Should Robots Be Able to Answer? A Dataset of User Questions for Explainable Robotics18 Oct 2025
- 2025Ask-to-Clarify: Resolving Instruction Ambiguity through Multi-turn Dialogue18 Sep 2025
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- 2025Learning to Generate Pointing Gestures in Situated Embodied Conversational Agents15 Sep 2025
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