Papers
From Complexity to Clarity: AI/NLP’s Role in Regulatory Compliance
Jivitesh Jain, Nivedhitha Dhanasekaran, Mona T. Diab
From Conversation to Automation: Leveraging LLMs for Problem-Solving Therapy Analysis
Elham Aghakhani, Lu Wang, Karla T. Washington et al.
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
Daniel Christoph, Max Ploner, Patrick Haller et al.
From Debates to Diplomacy: Argument Mining Across Political Registers
Maria Poiaganova, Manfred Stede
From End-Users to Co-Designers: Lessons from Teachers
Martina Galletti, Valeria Cesaroni
From English-Centric to Effective Bilingual: LLMs with Custom Tokenizers for Underrepresented Languages
Artur Kiulian, Anton Polishko, Mykola Khandoga et al.
From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning
Linjuan Wu, Hao-Ran Wei, Baosong Yang et al.
From Evasion to Concealment: Stealthy Knowledge Unlearning for LLMs
Tianle Gu, Kexin Huang, Ruilin Luo et al.
From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals
Gyeongeun Lee, Zhu Wang, Sathya N. Ravi et al.
From Human Reading to NLM Understanding: Evaluating the Role of Eye-Tracking Data in Encoder-Based Models
Luca Dini, Lucia Domenichelli, Dominique Brunato et al.
From Imitation to Introspection: Probing Self-Consciousness in Language Models
Sirui Chen, Shu Yu, Shengjie Zhao et al.
From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction
Stasa Mandic, Georg Niess, Roman Kern
From Informal to Formal – Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs
Jialun Cao, Yaojie Lu, Meiziniu Li et al.
From Information to Insight: Leveraging LLMs for Open Aspect-Based Educational Summarization
Yang Zhong, Diane Litman
From Isolates to Families: Using Neural Networks for Automated Language Affiliation
Frederic Blum, Steffen Herbold, Johann-Mattis List
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents
Tobias Lindenbauer, Georg Groh, Hinrich Schuetze
From Lists to Emojis: How Format Bias Affects Model Alignment
Xuanchang Zhang, Wei Xiong, Lichang Chen et al.
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
Guocong Li, Weize Liu, Yihang Wu et al.
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
Chongxuan Huang, Yongshi Ye, Biao Fu et al.
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
Cheng Cheng, Zhenya Huang, GuanHao Zhao et al.
From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs
Shenshen Li, Wenxin Meng, Lei Wang et al.
From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment
Bin Xie, Bingbing Xu, Yige Yuan et al.
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
Ruxiao Chen, Chenguang Wang, Yuran Sun et al.