Plausible extractive rationalization through semi-supervised entailment signal
The increasing use of complex and opaque black box models requires the adoption of
interpretable measures, one such option is extractive rationalizing models, which serve as a …
interpretable measures, one such option is extractive rationalizing models, which serve as a …
Selflre: Self-refining representation learning for low-resource relation extraction
Low-resource relation extraction (LRE) aims to extract potential relations from limited
labeled corpus to handle the problem of scarcity of human annotations. Previous works …
labeled corpus to handle the problem of scarcity of human annotations. Previous works …
Unveiling the power of language models in chemical research question answering
While the abilities of language models are thoroughly evaluated in areas like general
domains and biomedicine, academic chemistry remains less explored. Chemical QA tools …
domains and biomedicine, academic chemistry remains less explored. Chemical QA tools …
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
Explaining black-box model behavior with natural language has achieved impressive results
in various NLP tasks. Recent research has explored the utilization of subsequences from the …
in various NLP tasks. Recent research has explored the utilization of subsequences from the …
LOG: A Local-to-Global Optimization Approach for Retrieval-based Explainable Multi-Hop Question Answering
H Xu, Y Zhao, J Zhang, Z Wang… - Proceedings of the 31st …, 2025 - aclanthology.org
Multi-hop question answering (MHQA) aims to utilize multi-source intensive documents
retrieved to derive the answer. However, it is very challenging to model the importance of …
retrieved to derive the answer. However, it is very challenging to model the importance of …
Experiment Design for Hypotheses About How NLP Models Work
S Serrano - 2024 - search.proquest.com
In the last few years, Natural Language Processing models have come a long way.
However, for all the work that continues to report performance improvements, we still see …
However, for all the work that continues to report performance improvements, we still see …