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Report abuseTitle: ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
Authors: Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu
Publication: arXiv:2510.14077
In Proceedings of the Second Workshop on Uncertainty-Aware NLP @ EMNLP 2025 | Published Paper
Accepted to First Workshop on Multi-Turn Interactions in Large Language Models @ NeurIPS 2025 | Research Poster
Accepted to Reliable ML from Unreliable Data @ NeurIPS 2025 | Research Poster
Title: Timing of Ultrafast Electron and Laser Pulses with Narrowband Thz Interferometry for Ultrafast Electron Diffraction
Authors: Stephen Weathersby, Timothy Khang Do, Valery Dolgashev, Cameron J. R. Duncan, Joel England, Patrick Kramer, Mohamed Othman, Dennis Palmer
In Proceedings of 2025 North American Particle Accelerator Conference (NAPAC) | Publication: DOI:10.18429/JACoW-NAPAC2025-TUP099
Title: Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT
Authors: Timothy Do, Pranav Saran, Harshita Poojary, Pranav Prabhu, Sean O'Brien, Vasu Sharma, Kevin Zhu
Publication: arXiv:2506.02005
Accepted to Student Research Workshop @ IJCNLP-AACL 2025 | Research Poster
Accepted to 1st Workshop on Multilingual Data Quality Signals @ COLM 2025 | Research Poster
Model-agnostic inference framework that helps LLMs recover from context degradation and maintain performance across multi-turn conversations. (UncertaiNLP @ EMNLP 25' & MTI-LLM @ NeurIPS 25')
Data Analysis for 1st Othman Beamtime
Jupyter Notebook
A research project webpage presenting efficient figurative language classification methods for low-resource Konkani using attention head pruning techniques.
HTML 1
Web application that notifies researchers right when their previously published work gets cited
Python
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