Iryna Gurevych

research

∙ 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 ...

0 Chen Cecilia Liu, et al. ∙

research

∙ 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...

0 Andreas Waldis, et al. ∙

research

∙ 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...

0 Rachneet Sachdeva, et al. ∙

research

∙ 09/13/2023

How (Not) to Use Sociodemographic Information for Subjective NLP Tasks

Annotators' sociodemographic backgrounds (i.e., the individual compositi...

0 Tilman Beck, et al. ∙

research

∙ 09/04/2023

Are Emergent Abilities in Large Language Models just In-Context Learning?

Large language models have exhibited emergent abilities, demonstrating e...

0 Sheng Lu, et al. ∙

research

∙ 07/19/2023

SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval

Traditionally, sparse retrieval systems relied on lexical representation...

0 Nandan Thakur, et al. ∙

research

∙ 07/16/2023

Analyzing Dataset Annotation Quality Management in the Wild

Data quality is crucial for training accurate, unbiased, and trustworthy...

0 Jan-Christoph Klie, et al. ∙

research

∙ 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...

0 Ji-Ung Lee, et al. ∙

research

∙ 05/31/2023

UKP-SQuARE: An Interactive Tool for Teaching Question Answering

The exponential growth of question answering (QA) has made it an indispe...

0 Haishuo Fang, et al. ∙

research

∙ 05/24/2023

Dior-CVAE: Diffusion Priors in Variational Dialog Generation

Conditional variational autoencoders (CVAEs) have been used recently for...

0 Tianyu Yang, et al. ∙

research

∙ 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...

0 Jakub Macina, et al. ∙

research

∙ 05/23/2023

DAPR: A Benchmark on Document-Aware Passage Retrieval

Recent neural retrieval mainly focuses on ranking short texts and is cha...

0 Kexin Wang, et al. ∙

research

∙ 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 ...

0 Aniket Pramanick, et al. ∙

research

∙ 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...

0 Georgia Chalvatzaki, et al. ∙

research

∙ 04/25/2023

Lessons Learned from a Citizen Science Project for Natural Language Processing

Many Natural Language Processing (NLP) systems use annotated corpora for...

0 Jan-Christoph Klie, et al. ∙

research

∙ 04/18/2023

Romanization-based Large-scale Adaptation of Multilingual Language Models

Large multilingual pretrained language models (mPLMs) have become the de...

0 Sukannya Purkayastha, et al. ∙

research

∙ 03/30/2023

Elastic Weight Removal for Faithful and Abstractive Dialogue Generation

Ideally, dialogue systems should generate responses that are faithful to...

0 Nico Daheim, et al. ∙

research

∙ 02/24/2023

CARE: Collaborative AI-Assisted Reading Environment

Recent years have seen impressive progress in AI-assisted writing, yet t...

0 Dennis Zyska, et al. ∙

research

∙ 02/17/2023

Like a Good Nearest Neighbor: Practical Content Moderation with Sentence Transformers

Modern text classification systems have impressive capabilities but are ...

0 Luke Bates, et al. ∙

research

∙ 01/24/2023

Opportunities and Challenges in Neural Dialog Tutoring

Designing dialog tutors has been challenging as it involves modeling the...

0 Jakub Macina, et al. ∙

research

∙ 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...

0 Chen Cecilia Liu, et al. ∙

research

∙ 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 ...

0 Haau-Sing Li, et al. ∙

research

∙ 12/19/2022

CiteBench: A benchmark for Scientific Citation Text Generation

The publication rates are skyrocketing across many fields of science, an...

0 Martin Funkquist, et al. ∙

research

∙ 11/22/2022

GDPR Compliant Collection of Therapist-Patient-Dialogues

According to the Global Burden of Disease list provided by the World Hea...

0 Tobias Mayer, et al. ∙

research

∙ 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....

0 Neha Warikoo, et al. ∙

research

∙ 11/14/2022

Semantic Similarity Models for Depression Severity Estimation

Depressive disorders constitute a severe public health issue worldwide. ...

0 Anxo Pérez, et al. ∙

research

∙ 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-...

0 Nils Dycke, et al. ∙

research

∙ 11/10/2022

An Inclusive Notion of Text

Natural language processing researchers develop models of grammar, meani...

0 Ilia Kuznetsov, et al. ∙

research

∙ 11/03/2022

Contextual information integration for stance detection via cross-attention

Stance detection deals with the identification of an author's stance tow...

0 Tilman Beck, et al. ∙

research

∙ 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...

0 Irina Bigoulaeva, et al. ∙

research

∙ 10/25/2022

Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation

Misinformation emerges in times of uncertainty when credible information...

0 Max Glockner, et al. ∙

research

∙ 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...

0 Tim Baumgartner, et al. ∙

research

∙ 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...

0 Mohsen Mesgar, et al. ∙

research

∙ 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...

36 Gregor Geigle, et al. ∙

research

∙ 08/30/2022

Transformers with Learnable Activation Functions

Activation functions can have a significant impact on reducing the topol...

0 Haishuo Fang, et al. ∙

research

∙ 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...

0 Lorenz Stangier, et al. ∙

research

∙ 08/12/2022

Mining Legal Arguments in Court Decisions

Identifying, classifying, and analyzing arguments in legal discourse has...

0 Ivan Habernal, et al. ∙

research

∙ 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...

29 Jan-Christoph Klie, et al. ∙

research

∙ 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 ...

0 Benjamin Schiller, et al. ∙

research

∙ 05/13/2022

Improving the Numerical Reasoning Skills of Pretrained Language Models

State-of-the-art pretrained language models tend to perform below their ...

12 Dominic Petrak, et al. ∙

research

∙ 05/12/2022

Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization

Neural abstractive summarization models are prone to generate summaries ...

21 Prasetya Ajie Utama, et al. ∙

research

∙ 05/03/2022

Adaptable Adapters

State-of-the-art pretrained NLP models contain a hundred million to tril...

1 Nafise Sadat Moosavi, et al. ∙

research

∙ 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 ...

0 Ilia Kuznetsov, et al. ∙

research

∙ 04/13/2022

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations

Despite recent improvements in abstractive summarization, most current a...

9 Leonardo F. R. Ribeiro, et al. ∙

research

∙ 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...

2 Tim Baumgartner, et al. ∙

research

∙ 02/15/2022

Delving Deeper into Cross-lingual Visual Question Answering

Visual question answering (VQA) is one of the crucial vision-and-languag...

1 Chen Liu, et al. ∙

research

∙ 02/14/2022

ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers

The applications of conversational agents for scientific disciplines (as...

0 Federico Ruggeri, et al. ∙

research

∙ 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...

0 Nils Dycke, et al. ∙

research

∙ 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...

23 Irina Bigoulaeva, et al. ∙

research

∙ 12/14/2021

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Dense retrieval approaches can overcome the lexical gap and lead to sign...

0 Kexin Wang, et al. ∙

Iryna Gurevych

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