Papers
3,922 papers found
Hybrid Neural-LLM Pipeline for Morphological Glossing in Endangered Language Documentation: A Case Study of Jungar Tuvan
Siyu Liang, Talant Mawkanuli, Gina-Anne Levow
Hype or not? Formalizing Automatic Promotional Language Detection in Biomedical Research
Bojan Batalo, Erica K. Shimomoto, Dipesh Satav et al.
iBERT: Interpretable Embeddings via Sense Decomposition
Vishal Anand, Milad Alshomary, Kathleen McKeown
IDEAlign: Comparing Ideas of Large Language Models to Domain Experts
HyunJi Nam, Lucía Langlois, Jim Malamut et al.
Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump’s Presidential Campaigns
Ilias Chalkidis, Stephanie Brandl, Paris Aslanidis
If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
Jasmin Orth, Philipp Mondorf, Barbara Plank
I Know, but I Don’t Know! How Persona Conflict Undermines Instruction Adherence in Large Language Models
Seonmin Koo, Jinsung Kim, Heuiseok Lim
I know you are different! Towards Persona Driven Knowledge-infused Dialogue Assistant
Shifali Agrahari, Moushumi Mahato, Abhisek Tiwari et al.
ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen
Shounak Paul, Raghav Dogra, Pawan Goyal et al.
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu, Minhua Lin, Zhiwei Zhang et al.
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
Runzhe Wu, Ankur Samanta, Ayush Jain et al.
I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search
Zujie Liang, Feng Wei, Wujiang Xu et al.
Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
Craig Myles, Patrick Schrempf, David Harris-Birtill
Improving Chain-of-Thought for Logical Reasoning via Attention-Aware Intervention
Phuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue
Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts
Sanjh Maheshwari, Aniket Singh Rajpoot, Oana Cocarascu et al.
Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessing
Aashish Dhawan, Christopher Driggers-Ellis, Christan Grant et al.
Improving Language Identification for Code-Switched Speech: The Pivotal Role of Accented English
Adyasha Patra, Dhiraj Kumar Sah, Preethi Jyothi
Improving LLM Domain Certification with Pretrained Guide Models
Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam et al.
Improving on State-of-the-Art Models for Sentiment Analysis on Saudi-English Code-Switching Text
Samaher Alghamdi, Paul Rayson, Reem Alotibi
Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering
Vlad-Andrei Negoiță, Mihai Masala, Traian Rebedea
Improving the OOD Performance of Closed-Source LLMs on NLI Through Strategic Data Selection
Joe Stacey, Lisa Alazraki, Aran Ubhi et al.
Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging
Alphaeus Dmonte, Vidhi Gupta, Daniel J Perry et al.
IMRNNs: An Efficient Method for Interpretable Dense Retrieval via Embedding Modulation
Yash Saxena, Ankur Padia, Kalpa Gunaratna et al.