Papers
1,288 papers found
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
Hossein Basafa, Sajad Movahedi, Ali Ebrahimi et al.
Team Unibuc - NLP at SemEval-2024 Task 8: Transformer and Hybrid Deep Learning Based Models for Machine-Generated Text Detection
Teodor-george Marchitan, Claudiu Creanga, Liviu P. Dinu
I2R-NLP at SemEval-2025 Task 8: Question Answering on Tabular Data
Yuze Gao, Bin Chen, Jian Su
JU-CSE-NLP’25 at SemEval-2025 Task 4: Learning to Unlearn LLMs
Arkajyoti Naskar, Dipankar Das, Sivaji Bandyopadhyay
silp_nlp at SemEval-2025 Task 2: An Effect of Entity Awareness in Machine Translation Using LLM
Sumit Singh, Pankaj Goyal, Uma Tiwary
Intervening on Network Ties
Eli Sherman, Ilya Shpitser
Keep-Alive Caching for the Hawkes process
Sushirdeep Narayana, Ian A. Kash
Can I teach a robot to replicate a line art
Raghav B.V., Subham Kumar, Vinay Namboodiri
Text-based Person Search via Attribute-aided Matching
Surbhi Aggarwal, Venkatesh Babu RADHAKRISHNAN, Anirban Chakraborty
ATM: Attentional Text Matting
Peng Kang, Jianping Zhang, Chen Ma et al.
Fine-Grained Foreground Retrieval via Teacher-Student Learning
Zongze Wu, Dani Lischinski, Eli Shechtman
The Laughing Machine: Predicting Humor in Video
Yuta Kayatani, Zekun Yang, Mayu Otani et al.
Pro-CCaps: Progressively Teaching Colourisation to Capsules
Rita Pucci, Christian Micheloni, Gian Luca Foresti et al.
Video and Text Matching With Conditioned Embeddings
Ameen Ali, Idan Schwartz, Tamir Hazan et al.
Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
Frank Yu, Sid Fels, Helge Rhodin
Watching the News: Towards VideoQA Models That Can Read
Soumya Jahagirdar, Minesh Mathew, Dimosthenis Karatzas et al.
Taming Normalizing Flows
Shimon Malnick, Shai Avidan, Ohad Fried
Token Turing Machines are Efficient Vision Models
Purvish Jajal, Nick Eliopoulous, Benjamin Shiue-Hal Chou et al.
Reciprocal Teaching: Dynamic Multi-Model Teacher-Student Learning for Multiple Noisy Annotations
Wenjie Ai, Cuong C. Nguyen, Adrian Hilton et al.
CLUE: Bringing Machine Unlearning to Mobile Devices
A.Q.M. Sazzad Sayyed, Nathaniel D. Bastian, Michael De Lucia et al.
Sparse Adapter Fusion for Continual Learning in NLP
Min Zeng, Xi Chen, Haiqin Yang et al.
Test-Time Scaling of Reasoning Models for Machine Translation
Zihao Li, Shaoxiong Ji, Jörg Tiedemann
Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
Huaiyuan Yao, Wanpeng Xu, Justin Turnau et al.