Jesse Thomason

43 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (71) 🧭 Keyword Pioneer 🔬 Deep Specialist (18) 🌱 Topic Pioneer 🗃️ Keyword Collector (170) ⚡ Prolific Year (7) 🚀 Conference Pioneer 💎 Century Club (42) 🔥 Unstoppable (13) 📈 Trend Setter ❓ The Questioner (4)

Conferences

EMNLP (10) NAACL (9) CORL (7) IJCAI (4) AAAI (2) ACL (2) CVPR (2) EACL (2) COLING (1) IJCNLP (1) INTERSPEECH (1) NIPS (1) RSS (1)

Top co-authors

Robin Jia (7) Yonatan Bisk (6) Wang Zhu (4) Raymond J. Mooney (4) Peter Stone (4) Tejas Srinivasan (4) Abrar Anwar (4) Ting-Yun Chang (4) Aishwarya Padmakumar (4) Luke Zettlemoyer (3)

Research topics

Robotics (1) Linguistics (1)

Keywords

multimodal learning (8) vision-language model (5) embodied ai (4) large language model (4) instruction following (4) natural language understanding (3) vision-language navigation (3) visual reasoning (3) embodied agent (3) visual question answering (3) language grounding (3) reinforcement learning (2) multi-agent reinforcement learning (2) robot navigation (2) human-robot interaction (2) benchmark evaluation (2) visual navigation (2) semantic parsing (2) natural language processing (2) catastrophic forgetting (2)

Papers

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning AAAI 2026

Large Language Models Do Multi-Label Classification Differently EMNLP 2025

The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge NAACL 2025

Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback NAACL 2025

Can VLMs Recall Factual Associations From Visual References? EMNLP 2025

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations CORL 2025

Why Do Some Inputs Break Low-Bit LLM Quantization? EMNLP 2025

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection CORL 2025

Selective “Selective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning ACL 2024

Contrast Sets for Evaluating Language-Guided Robot Policies CORL 2024

When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models EMNLP 2024

Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding NAACL 2024

Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks NAACL 2024

Efficient End-to-End Visual Document Understanding with Rationale Distillation NAACL 2024

WINOVIZ: Probing Visual Properties of Objects Under Different States NAACL 2024

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation RSS 2024

Iterative Vision-and-Language Navigation CVPR 2023

Multimodal Speech Recognition for Language-Guided Embodied Agents INTERSPEECH 2023

Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering EMNLP 2023

Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation EMNLP 2023

Improving Sign Recognition with Phonology EACL 2023

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks NIPS 2022

Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions ACL 2022

ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments EMNLP 2022

Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems EMNLP 2022

TEACh: Task-Driven Embodied Agents That Chat AAAI 2022

Language Grounding with 3D Objects CORL 2021

Experience Grounds Language EMNLP 2020

RMM: A Recursive Mental Model for Dialogue Navigation EMNLP 2020

The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation CORL 2020

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks CVPR 2020

Shifting the Baseline: Single Modality Performance on Visual Navigation & QA NAACL 2019

Vision-and-Dialog Navigation CORL 2019

Proceedings of the Combined Workshop on Spatial Language Understanding (SpLU) and Grounded Communication for Robotics (RoboNLP) NAACL 2019

Multi-modal Predicate Identification using Dynamically Learned Robot Controllers IJCAI 2018

Multi-Modal Word Synset Induction IJCAI 2017

Opportunistic Active Learning for Grounding Natural Language Descriptions CORL 2017

Integrated Learning of Dialog Strategies and Semantic Parsing EACL 2017

Improving Black-box Speech Recognition using Semantic Parsing IJCNLP 2017

Learning Multi-Modal Grounded Linguistic Semantics by Playing “I Spy” IJCAI 2016

Learning to Interpret Natural Language Commands through Human-Robot Dialog IJCAI 2015

Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild COLING 2014

Differences in User Responses to a Wizard-of-Oz versus Automated System NAACL 2013