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09/21/2023
LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent
3D visual grounding is a critical skill for household robots, enabling t...
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07/05/2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition
Human language acquisition is an efficient, supervised, and continual pr...
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06/14/2023
World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models
The ability to connect language units to their referents in the physical...
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05/28/2023
In-Context Analogical Reasoning with Pre-Trained Language Models
Analogical reasoning is a fundamental capacity of human cognition that a...
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05/26/2023
NLP Reproducibility For All: Understanding Experiences of Beginners
As natural language processing (NLP) has recently seen an unprecedented ...
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05/18/2023
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue
Collaborative tasks often begin with partial task knowledge and incomple...
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05/17/2023
BAD: BiAs Detection for Large Language Models in the context of candidate screening
Application Tracking Systems (ATS) have allowed talent managers, recruit...
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11/09/2022
Prompting Large Pre-trained Vision-Language Models For Compositional Concept Learning
This work explores the zero-shot compositional learning ability of large...
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10/22/2022
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents
In the real world, autonomous driving agents navigate in highly dynamic ...
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10/22/2022
DANLI: Deliberative Agent for Following Natural Language Instructions
Recent years have seen an increasing amount of work on embodied AI agent...
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05/04/2022
Reproducibility Beyond the Research Community: Experience from NLP Beginners
As NLP research attracts public attention and excitement, it becomes inc...
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01/23/2022
Partition-Based Active Learning for Graph Neural Networks
We study the problem of semi-supervised learning with Graph Neural Netwo...
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09/13/2021
MindCraft: Theory of Mind Modeling for Situated Dialogue in Collaborative Tasks
An ideal integration of autonomous agents in a human world implies that ...
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09/10/2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
Large-scale, pre-trained language models (LMs) have achieved human-level...
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09/10/2021
Beyond the Tip of the Iceberg: Assessing Coherence of Text Classifiers
As large-scale, pre-trained language models achieve human-level and supe...
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09/03/2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
We propose CX-ToM, short for counterfactual explanations with theory-of ...
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06/07/2021
Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring
Despite recent progress, learning new tasks through language instruction...
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04/21/2020
Experience Grounds Language
Successful linguistic communication relies on a shared experience of the...
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08/06/2019
