Victor Bursztyn
9 papers · 2021–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(30)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Artificial Intelligence
(8)
Core AI
(7)
Machine Learning
(5)
Natural Language Processing
(5)
Applications · Natural Language Processing
(3)
Generation
(3)
Learning Types · Machine Learning
(3)
Resources & Methods
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Applications · Data Science & Analytics
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Interdisciplinary
(1)
Keywords
large language model
(3)
task decomposition
(2)
retrieval-augmented generation
(2)
few-shot learning
(1)
natural language processing
(1)
curriculum learning
(1)
transfer learning
(1)
preference learning
(1)
question answering
(1)
semantic parsing
(1)
multimodal learning
(1)
document understanding
(1)
ambiguity resolution
(1)
mutual information
(1)
tree search
(1)
preference elicitation
(1)
information gain
(1)
language model
(1)
model robustness
(1)
path planning
(1)
Papers
TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems
ACL 2026
A Flash in the Pan: Better Prompting Strategies to Deploy Out-of-the-Box LLMs as Conversational Recommendation Systems
COLING 2025
Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
EMNLP 2025
Doc-React: Multi-page Heterogeneous Document Question-answering
ACL 2025
SQLSpace: A Representation Space for Text-to-SQL to Discover and Mitigate Robustness Gaps
EMNLP 2025
RaDA: Retrieval-augmented Web Agent Planning with LLMs
ACL 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
ICLR 2024
Learning to Perform Complex Tasks through Compositional Fine-Tuning of Language Models
EMNLP 2022
“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems
EMNLP 2021