Jesse Thomason
Associate Professor
Leads the GLAMOR Lab on grounding language in perception and robot actions.
Jesse Thomason's lab at Georgia Tech works on multimodal & grounded language and robot perception & SLAM. 62 papers since 2023, 32 at top venues, mostly EMNLP and ICRA. Applications close .
At a glance
- papers, 2023–2026
- 16/ year
- at T1 venues
- 52%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 21 papers2026 · T1 13 · collecting
- 13 papers2025 · T1 7
- 12 papers2024 · T1 7
- 16 papers2023 · T1 5
T1 venuesOtherVenues: EMNLP, ICRA, NAACL, CoRL, ICMI
Research focuspaper titles that use each topic's words
- Multimodal & grounded language28 papers
- Robot perception & SLAM10 papers
- grounding1 paper
- actions0 papers
- interactive computing0 papers
Paper list
From the lab homepage.
202621 papers
- IUIAdjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance (opens in a new tab)
- EMNLP (T1)Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge (opens in a new tab)
- ACL (T1)Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations (opens in a new tab)
- IJRR (T1)Bridging Language and Action: A Survey of Language-Conditioned Robot Manipulation (opens in a new tab)
- RA-LColosseum V2: Benchmarking Generalization for Vision Language Action Models (opens in a new tab)
- SIGDIALDiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents (opens in a new tab)
- EMNLP (T1)Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM (opens in a new tab)
- ICRA (T1)HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval (opens in a new tab)
- AAAI (T1)Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning (opens in a new tab)
- ECCV (T1)Mechanistic Finetuning of Vision-Language-Action Models via Few-Shot Demonstrations (opens in a new tab)
- ICMIMultimodal Behavioral Typicality as a Training-Free Screening Signal for Dementia (opens in a new tab)
- ICRA (T1)PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies (opens in a new tab)
202513 papers
- TACL (T1)Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems (opens in a new tab)
- Findings of Empirical Methods in Natural Language ProcessingCan VLMs Recall Factual Associations From Visual References? (opens in a new tab)
- CoRL (T1)Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection (opens in a new tab)
- NAACL (T1)Language Models can Infer Action Semantics for Classical Planners from Environment Feedback (opens in a new tab)
- EMNLP (T1)Large Language Models Do Multi-Label Classification Differently (opens in a new tab)
- The Workshop on Nonverbal Cues for Human-Robot Cooperative Intelligence @ ICRAM3PT: A Transformer for Multimodal, Multi-Party Social Signal Prediction with Person-aware Blockwise Attention (opens in a new tab)
- ICMIMultimodal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models (opens in a new tab)
- CHI (T1)Promoting Cognitive Health in Elder Care with Large Language Model-Powered Socially Assistive Robots (opens in a new tab)
- CoRL (T1)ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations (opens in a new tab)
- Workshop on Scalable and Resilient Multi-Robot Systems @ RSSRobotFleet: An Open-Source Framework for Centralized Multi-Robot Task Planning (opens in a new tab)
- Findings of North American Chapter of the Association for Computational LinguisticsThe American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge (opens in a new tab)
- Workshop on Language and Semantics of Task and Motion Planning @ ICRATwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models (opens in a new tab)
202412 papers
- CoRL (T1)Contrast Sets for Evaluating Language-Guided Robot Policies (opens in a new tab)
- NAACL (T1)Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks (opens in a new tab)
- NAACL (T1)Efficient End-to-End Visual Document Understanding with Rationale Distillation (opens in a new tab)
- Wordplay: When Language Meets Games @ ACLEvaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash (opens in a new tab)
- Interactive AI for Human-Centered Robotics (InterAI) Workshop @ Ro-MANGenerating Contextually-Relevant Navigation Instructions for Blind and Low Vision People (opens in a new tab)
- Findings of Association for Computational LinguisticsSelective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning (opens in a new tab)
- AISoLASystematic Translation from Natural Language Robot Task Descriptions to STL (opens in a new tab)
- RSS (T1)The COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation (opens in a new tab)
- IROS (T1)ViSaRL: Visual Reinforcement Learning Guided by Human Saliency (opens in a new tab)
- EMNLP (T1)When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models (opens in a new tab)
- NAACL (T1)Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding (opens in a new tab)
- Workshop on Secure and Trustworthy Large Language Models (SeT LLM) @ ICLRWinoViz: Probing Visual Properties of Objects Under Different States (opens in a new tab)
202316 papers
- EMNLP (T1)Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering (opens in a new tab)
- Workshop on Open-Domain Reasoning Under Multi-Modal Settings (ODRUM) @ CVPRCurriculum Learning for Data-Efficient Vision-Language Alignment (opens in a new tab)
- Workshop on Open-Domain Reasoning Under Multi-Modal Settings (ODRUM) @ CVPRDoes VLN Pretraining Work with Nonsensical or Irrelevant Instructions? (opens in a new tab)
- Workshop on Language and Robot Learning (LangRob) @ CoRLExploring Strategies for Efficient Real-World VLN Evaluation (opens in a new tab)
- ESANNExploring Strategies for Modeling Sign Language Phonology (opens in a new tab)
- WebSciGeolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter (opens in a new tab)
- CoLLAsI2I: Initializing Adapters with Improvised Knowledge (opens in a new tab)
- EACLImproving Sign Recognition with Phonology (opens in a new tab)
- CVPR (T1)Iterative Vision-and-Language Navigation (opens in a new tab)
- Autonomous RobotsMultimodal embodied attribute learning by robots for object-centric action policies (opens in a new tab)
- Interspeech (T1)Multimodal Speech Recognition for Language-Guided Embodied Agents (opens in a new tab)
- ICRA (T1)ProgPrompt: Generating Situated Robot Task Plans using Large Language Models (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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