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EMNLP - 2023
Total Papers:- 1186
Total Papers accross all years:- 12236
Total Citations :- 0
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MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models
Deepak Nathani |
David Wang |
Liangming Pan |
William Wang |
Syntactic Substitutability as Unsupervised Dependency Syntax
Jasper Jian |
Siva Reddy |
Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration
Daniel Deutsch |
George Foster |
Markus Freitag |
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing
Elias Stengel-Eskin |
Benjamin Van Durme |
A Diachronic Perspective on User Trust in AI under Uncertainty
Shehzaad Dhuliawala |
Vilém Zouhar |
Mennatallah El-Assady |
Mrinmaya Sachan |
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
Fanqi Wan |
Xinting Huang |
Tao Yang |
Xiaojun Quan |
Wei Bi |
Shuming Shi |
Revisiting De-Identification of Electronic Medical Records: Evaluation of Within- and Cross-Hospital Generalization
Yiyang Liu |
Jinpeng Li |
Enwei Zhu |
ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation
Yangyi Chen |
Xingyao Wang |
Manling Li |
Derek Hoiem |
Heng Ji |
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata
Silei Xu |
Shicheng Liu |
Theo Culhane |
Elizaveta Pertseva |
Meng-Hsi Wu |
Sina Semnani |
Monica Lam |
Understanding the Inner-workings of Language Models Through Representation Dissimilarity
Davis Brown |
Charles Godfrey |
Nicholas Konz |
Jonathan Tu |
Henry Kvinge |
Generating Commonsense Counterfactuals for Stable Relation Extraction
Xin Miao |
Yongqi Li |
Tieyun Qian |
Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering
Trang Nguyen |
Naoaki Okazaki |
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports
Mael Jullien |
Marco Valentino |
Hannah Frost |
Paul O’Regan |
Dónal Landers |
Andre Freitas |
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Theo Olausson |
Alex Gu |
Ben Lipkin |
Cedegao Zhang |
Armando Solar-Lezama |
Joshua Tenenbaum |
Roger Levy |
Deep Natural Language Feature Learning for Interpretable Prediction
Felipe Urrutia |
Cristian Calderon |
Valentin Barriere |
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