Papers
The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks
Wanfu Gao, Zebin He, Jun Gao
The Shape of Vulnerability: How Adversarial Perturbations Reshape the Topology of Language Model Latent Spaces
Angelina Tsai, Shreya Subramanian, Catherine Liu et al.
The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?
Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
The Side Effects of Being Smart: Safety Risks in MLLMs’ Multi-Image Reasoning
Renmiao Chen, Yida Lu, Shiyao Cui et al.
The Silence of the Facts: Popularity as a Barrier to Machine Unlearning
Anna Borisiuk, Andrey Savchenko, Alexander Panchenko et al.
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
Xinwei Guo, Jiashi Gao, Junlei Zhou et al.
Thesis Proposal: A Multi-Agent System for Ontology-Based Perspective-Aware Knowledge Extraction
Luiz Do Valle Miranda, Grzegorz J. Nalepa
Thesis Proposal: An Explainable Multimodal Framework for Detecting Harmful Content in Code-Switched Children’s Media
Juliana Isabelle A. Guillermo, Jasper Kyle Catapang, Nathaniel Oco
Thesis Proposal: A Normalization-First Framework for Sound, Complete, and Utility-Ready Open Information Extraction
Chandan Prakash, Pavan Kumar Chittimalli, Arnab Bhattacharya
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing?
Josef Jon, Ondřej Bojar
Thesis Proposal: Comparing Human and Model Perception of Writing Style under Controlled Perturbations
Ewelina Paulina Księżniak
Thesis Proposal: Efficient KV Cache Reuse for Multi-Document Retrieval-Augmented Generation
Zhipeng Zhang, Dmitry Ilvovsky
Thesis Proposal: Intentional Inference for Insight Generation
Kristýna Onderková
Thesis Proposal: LLMs post-training for multilingual medical tasks. Instruction-Tuning, Continual-Pretraining or Reasoning?
Pietro Ferrazzi, Alberto Lavelli, Bernardo Magnini
Thesis Proposal: Measuring Prejudice at Scale
Zoran Fijavž, Senja Pollak, Veronika Bajt
Thesis Proposal: Self-Adaptive and Epistemic Uncertainty-Guided ASR of Dense Intra-Sentential Code-Switched Speech for African Low-Resource Languages
Umar Baba Umar, Sulaimon Adebayo Bashir, Abdulmalik Danlami Mohammed et al.
Thesis Proposal: Targeted and Unified Cross-Lingual Unlearning from Multilingual Language Models
Jan Bronec, Jindřich Helcl
Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment
Deepak Pandita, Christopher M. Homan