Mateusz Bystroński
4 papers · 2025–2026 · 1 venue · 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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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
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The Questioner
Venues
Top co-authors
Research topics
Keywords
code generation
(1)
hidden state
(1)
benchmark dataset
(1)
retrieval-augmented generation
(1)
dialogue system
(1)
semantic vector space
(1)
legal document
(1)
regression problem
(1)
generative diversity
(1)
large language model
(1)
graph neural network
(1)
execution feedback
(1)
divergent thinking
(1)
output length
(1)
anchor generation
(1)
intention optimization
(1)
conditioning context
(1)
fact elicitation
(1)
continuous context sampling
(1)
Papers
Beyond Discrete Search: Divergent Thinking as Intention Optimization in Latent Space
ACL 2026
Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models
ACL 2026
Factual State Discovery Benchmark: Evaluating Fact Elicitation in Polish Tax Law
ACL 2026
When Will the Tokens End? Graph-Based Forecasting for LLMs Output Length
ACL 2025