1 citations · 1 across the 3 of their papers we have counts for
4 papers
Hesitation Has a Geometry: Entropy-Trained Hyperbolic Probes for Sparse Activation Steering
Zeyong Zhang, Tung Sum Thomas Kwok, Tengfei Ma +1
When a large language model solves a mathematical problem, its reasoning is largely hierarchical, and the solution often branches at a few tokens where the next-token entropy is hi…
From Table to Cell: Attention for Better Reasoning with TABALIGN
Tung Sum Thomas Kwok, Zeyong Zhang, Xinyu Wang +6
Multi-step LLM reasoning over structured tables fails because planning and execution share no explicit cell-grounding contract. Existing methods constrain the planner to a left-to-…
Hyperbolic Large Language Models
Sarang Patil, Zeyong Zhang, Yiran Huang +2
Large language models (LLMs) have achieved remarkable success and demonstrated superior performance across various tasks, including natural language processing (NLP), weather forec…
Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering
Tung Sum Thomas Kwok, Zeyong Zhang, Chi-Hua Wang +1
Tabular data synthesis for supervised learning ('SL') model training is gaining popularity in industries such as healthcare, finance, and retail. Despite the progress made in tabul…