Mauricio Gruppi — accepted AI-conference papers

2025

ConShift: Sense-based Language Variation Analysis using Flexible Alignment

Clare Arrington, Mauricio Gruppi, Sibel Adali

NAACL 2025findings

We introduce ConShift, a family of alignment-based algorithms that enable semantic variation analysis at the sense-level. Using independent senses of words induced from the context of tokens in two corpora, sense-enriched word embeddings are aligned using self-supervision and a flexible matching mec…

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2025

On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning

Mauricio Gruppi, Soham Dan, Keerthiram Murugesan, Subhajit Chaudhury

COLING 2025main

Text-based reinforcement learning involves an agent interacting with a fictional environment using observed text and admissible actions in natural language to complete a task. Previous works have shown that agents can succeed in text-based interactive environments even in the complete absence of sem…

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