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2020 – today
- 2024
[c25]Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar:
Inference to the Best Explanation in Large Language Models. ACL (1) 2024: 217-235- [c24]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. LREC/COLING 2024: 449-458 - [c23]Julia Rozanova, Marco Valentino, André Freitas:
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. LREC/COLING 2024: 6319-6329 - [c22]Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas:
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. EACL (1) 2024: 1-22 - [c21]Marco Valentino, Danilo S. Carvalho, André Freitas:
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. EACL (1) 2024: 23-34 - [c20]Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas:
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. EACL (Findings) 2024: 1434-1450 - [c19]Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas:
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. NAACL-HLT (Findings) 2024: 474-489 - [c18]Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas:
Multi-Operational Mathematical Derivations in Latent Space. NAACL-HLT 2024: 1446-1458 - [c17]Jordan Meadows, Marco Valentino, Damien Teney, André Freitas:
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. NAACL-HLT 2024: 1505-1523 - [c16]Maël Jullien, Marco Valentino, André Freitas:
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. SemEval@NAACL 2024: 1947-1962 - [i33]Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas:
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. CoRR abs/2402.00723 (2024) - [i32]Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas:
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. CoRR abs/2402.00745 (2024) - [i31]Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar:
Inference to the Best Explanation in Large Language Models. CoRR abs/2402.10767 (2024) - [i30]Julia Rozanova, Marco Valentino, André Freitas:
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. CoRR abs/2404.02622 (2024) - [i29]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. CoRR abs/2404.02625 (2024) - [i28]Maël Jullien, Marco Valentino, André Freitas:
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. CoRR abs/2404.04963 (2024) - [i27]Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas:
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving. CoRR abs/2405.01379 (2024) - [i26]Geonhee Kim, Marco Valentino, André Freitas:
A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models. CoRR abs/2408.08590 (2024) - 2023
- [c15]Julia Rozanova
, Marco Valentino, Lucas C. Cordeiro, André Freitas:
Interventional Probing in High Dimensions: An NLI Case Study. EACL (Findings) 2023: 2444-2455 - [c14]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas:
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. EMNLP 2023: 16745-16764 - [c13]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas:
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. SemEval@ACL 2023: 2216-2226 - [i25]Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas:
Interventional Probing in High Dimensions: An NLI Case Study. CoRR abs/2304.10346 (2023) - [i24]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas:
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. CoRR abs/2305.02993 (2023) - [i23]Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas:
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. CoRR abs/2305.03598 (2023) - [i22]Marco Valentino, Danilo S. Carvalho, André Freitas:
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. CoRR abs/2305.07303 (2023) - [i21]Julia Rozanova, Marco Valentino, André Freitas:
Estimating the Causal Effects of Natural Logic Features in Neural NLI Models. CoRR abs/2305.08572 (2023) - [i20]Jordan Meadows, Marco Valentino, Damien Teney, André Freitas:
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers. CoRR abs/2305.12563 (2023) - [i19]Jordan Meadows, Marco Valentino, André Freitas:
Generating Mathematical Derivations with Large Language Models. CoRR abs/2307.09998 (2023) - [i18]Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas:
Multi-Operational Mathematical Derivations in Latent Space. CoRR abs/2311.01230 (2023) - [i17]Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas:
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. CoRR abs/2311.08579 (2023) - 2022
- [j1]Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas:
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference. Trans. Assoc. Comput. Linguistics 10: 1103-1119 (2022) - [c12]Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. AAAI 2022: 11403-11411 - [c11]Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas:
To be or not to be an Integer? Encoding Variables for Mathematical Text. ACL (Findings) 2022: 938-948 - [c10]Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Decomposing Natural Logic Inferences for Neural NLI. BlackboxNLP@EMNLP 2022: 394-403 - [c9]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Case-Based Abductive Natural Language Inference. COLING 2022: 1556-1568 - [i16]Maël Jullien, Marco Valentino, André Freitas:
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language. CoRR abs/2201.10262 (2022) - [i15]Marco Valentino, André Freitas:
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI. CoRR abs/2205.01809 (2022) - [i14]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers. CoRR abs/2208.03339 (2022) - 2021
- [c8]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Explainable Inference Over Grounding-Abstract Chains for Science Questions. ACL/IJCNLP (Findings) 2021: 1-12 - [c7]Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. ACL (demo) 2021: 194-201 - [c6]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Multi-hop Explanations for Science Questions. EACL 2021: 200-211 - [i13]Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Does My Representation Capture X? Probe-Ably. CoRR abs/2104.05807 (2021) - [i12]Marco Valentino, Ian Pratt-Hartmann, André Freitas:
Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards. CoRR abs/2105.01974 (2021) - [i11]Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas:
∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization. CoRR abs/2105.03417 (2021) - [i10]Zili Zhou, Marco Valentino, Donal Landers, André Freitas:
Encoding Explanatory Knowledge for Zero-shot Science Question Answering. CoRR abs/2105.05737 (2021) - [i9]Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Supporting Context Monotonicity Abstractions in Neural NLI Models. CoRR abs/2105.08008 (2021) - [i8]Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas:
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference. CoRR abs/2107.11879 (2021) - [i7]Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Decomposing Natural Logic Inferences in Neural NLI. CoRR abs/2112.08289 (2021) - 2020
- [c5]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC 2020: 5359-5369 - [i6]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR abs/2003.04642 (2020) - [i5]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Unification-based Reconstruction of Explanations for Science Questions. CoRR abs/2004.00061 (2020) - [i4]Marco Valentino, Mokanarangan Thayaparan, André Freitas:
Explainable Natural Language Reasoning via Conceptual Unification. CoRR abs/2009.14539 (2020) - [i3]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
A Survey on Explainability in Machine Reading Comprehension. CoRR abs/2010.00389 (2020) - [i2]Mokanarangan Thayaparan, Marco Valentino, André Freitas:
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering. CoRR abs/2010.13128 (2020)
2010 – 2019
- 2019
- [c4]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP 2019: 42-51 - [i1]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR abs/1910.00290 (2019) - 2018
- [c3]Claudia Di Napoli, Marco Valentino, Luca Sabatucci, Massimo Cossentino:
Adaptive Workflows of Home-Care Services. WETICE 2018: 3-8 - [c2]Silvia Rossi, Giovanni Ercolano, Luca Raggioli, Marco Valentino, Claudia Di Napoli:
A Framework for Personalized and Adaptive Socially Assistive Robotics. WOA 2018: 90-95 - 2017
- [c1]Maria Di Maro, Marco Valentino, Anna Riccio, Antonio Origlia:
Graph Databases for Designing High-Performance Speech Recognition Grammars. IWCS(2) 2017
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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