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Papers
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding
EMNLP 2024
Reimagining Intent Prediction: Insights from Graph-Based Dialogue Modeling and Sentence Encoders
COLING 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
COLING 2024
Pragmatic Norms Are All You Need – Why The Symbol Grounding Problem Does Not Apply to LLMs
EMNLP 2024
Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data
COLING 2024
Cross-Lingual NLU: Mitigating Language-Specific Impact in Embeddings Leveraging Adversarial Learning
COLING 2024
Don’t Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention
EMNLP 2024