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09/15/2023
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
Large language models (LLMs) are highly adept at question answering and ...
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09/15/2023
Bridging Topic, Domain, and Language Shifts: An Evaluation of Comprehensive Out-of-Distribution Scenarios
Language models (LMs) excel in in-distribution (ID) scenarios where trai...
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09/14/2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration
In recent years, large language models (LLMs) have shown remarkable capa...
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09/13/2023
How (Not) to Use Sociodemographic Information for Subjective NLP Tasks
Annotators' sociodemographic backgrounds (i.e., the individual compositi...
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09/04/2023
Are Emergent Abilities in Large Language Models just In-Context Learning?
Large language models have exhibited emergent abilities, demonstrating e...
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07/19/2023
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval
Traditionally, sparse retrieval systems relied on lexical representation...
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07/16/2023
Analyzing Dataset Annotation Quality Management in the Wild
Data quality is crucial for training accurate, unbiased, and trustworthy...
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06/29/2023
Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research
Many recent improvements in NLP stem from the development and use of lar...
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05/31/2023
UKP-SQuARE: An Interactive Tool for Teaching Question Answering
The exponential growth of question answering (QA) has made it an indispe...
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05/24/2023
Dior-CVAE: Diffusion Priors in Variational Dialog Generation
Conditional variational autoencoders (CVAEs) have been used recently for...
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05/23/2023
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
Although automatic dialogue tutors hold great potential in making educat...
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05/23/2023
DAPR: A Benchmark on Document-Aware Passage Retrieval
Recent neural retrieval mainly focuses on ranking short texts and is cha...
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05/22/2023
A Diachronic Analysis of the NLP Research Paradigm Shift: When, How, and Why?
Understanding the fundamental concepts and trends in a scientific field ...
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05/12/2023
Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning
Long-horizon task planning is essential for the development of intellige...
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04/25/2023
Lessons Learned from a Citizen Science Project for Natural Language Processing
Many Natural Language Processing (NLP) systems use annotated corpora for...
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04/18/2023
Romanization-based Large-scale Adaptation of Multilingual Language Models
Large multilingual pretrained language models (mPLMs) have become the de...
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03/30/2023
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Ideally, dialogue systems should generate responses that are faithful to...
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02/24/2023
CARE: Collaborative AI-Assisted Reading Environment
Recent years have seen impressive progress in AI-assisted writing, yet t...
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02/17/2023
Like a Good Nearest Neighbor: Practical Content Moderation with Sentence Transformers
Modern text classification systems have impressive capabilities but are ...
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01/24/2023
Opportunities and Challenges in Neural Dialog Tutoring
Designing dialog tutors has been challenging as it involves modeling the...
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01/13/2023
Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing
Standard fine-tuning of language models typically performs well on in-di...
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12/19/2022
Asking Clarification Questions for Code Generation in General-Purpose Programming Language
Code generation from text requires understanding the user's intent from ...
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12/19/2022
CiteBench: A benchmark for Scientific Citation Text Generation
The publication rates are skyrocketing across many fields of science, an...
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11/22/2022
GDPR Compliant Collection of Therapist-Patient-Dialogues
According to the Global Burden of Disease list provided by the World Hea...
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11/22/2022
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence
Emotions are experienced and expressed through various response systems....
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11/14/2022
Semantic Similarity Models for Depression Severity Estimation
Depressive disorders constitute a severe public health issue worldwide. ...
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11/12/2022
NLPeer: A Unified Resource for the Computational Study of Peer Review
Peer review is a core component of scholarly publishing, yet it is time-...
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11/10/2022
An Inclusive Notion of Text
Natural language processing researchers develop models of grammar, meani...
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11/03/2022
Contextual information integration for stance detection via cross-attention
Stance detection deals with the identification of an author's stance tow...
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10/31/2022
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
We compare sequential fine-tuning with a model for multi-task learning i...
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10/25/2022
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
Misinformation emerges in times of uncertainty when credible information...
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10/19/2022
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
Pairing a lexical retriever with a neural re-ranking model has set state...
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10/12/2022
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification
Few-shot Intent Classification (FSIC) is one of the key challenges in mo...
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10/12/2022
One does not fit all! On the Complementarity of Vision Encoders for Vision and Language Tasks
Current multimodal models, aimed at solving Vision and Language (V+L) ta...
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08/30/2022
Transformers with Learnable Activation Functions
Activation functions can have a significant impact on reducing the topol...
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08/16/2022
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation
Collecting and annotating task-oriented dialog data is difficult, especi...
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08/12/2022
Mining Legal Arguments in Court Decisions
Identifying, classifying, and analyzing arguments in legal discourse has...
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06/05/2022
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future
Annotated data is an essential ingredient in natural language processing...
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05/23/2022
On the Effect of Sample and Topic Sizes for Argument Mining Datasets
The task of Argument Mining, that is extracting argumentative sentences ...
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05/13/2022
Improving the Numerical Reasoning Skills of Pretrained Language Models
State-of-the-art pretrained language models tend to perform below their ...
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05/12/2022
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization
Neural abstractive summarization models are prone to generate summaries ...
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05/03/2022
Adaptable Adapters
State-of-the-art pretrained NLP models contain a hundred million to tril...
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04/22/2022
Revise and Resubmit: An Intertextual Model of Text-based Collaboration in Peer Review
Peer review is a key component of the publishing process in most fields ...
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04/13/2022
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
Despite recent improvements in abstractive summarization, most current a...
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03/25/2022
UKP-SQUARE: An Online Platform for Question Answering Research
Recent advances in NLP and information retrieval have given rise to a di...
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02/15/2022
Delving Deeper into Cross-lingual Visual Question Answering
Visual question answering (VQA) is one of the crucial vision-and-languag...
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02/14/2022
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers
The applications of conversational agents for scientific disciplines (as...
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01/27/2022
Yes-Yes-Yes: Donation-based Peer Reviewing Data Collection for ACL Rolling Review and Beyond
Peer review is the primary gatekeeper of scientific merit and quality, y...
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01/15/2022
Addressing the Challenges of Cross-Lingual Hate Speech Detection
The goal of hate speech detection is to filter negative online content a...
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12/14/2021
