Danilo Carvalho
15 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
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Keywords
variational autoencoder
(6)
representation learning
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large language model
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latent space
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language model
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natural language inference
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semantic geometry
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sentence representation
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semantic disentanglement
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formal semantics
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semantic consistency
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model analysis
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linguistic knowledge
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explanation generation
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logical reasoning
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zero-shot learning
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language modeling
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latent representation
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Papers
Where Do LLMs Compose Meaning? A Layerwise Analysis of Compositional Robustness
EACL 2026
Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study
AAAI 2026
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
ACL 2025
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
CONLL 2025
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis
AAAI 2025
PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement
ACL 2025
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
EMNLP 2025
LangVAE and LangSpace: Building and Probing for Language Model VAEs
EMNLP 2025
TRACE: Training and Inference-Time Interpretability Analysis for Language Models
EMNLP 2025
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning
NAACL 2025
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks
ACL 2024
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
EACL 2024
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders
EACL 2024
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders
NAACL 2024
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
ACL 2022