activity
20202026
most citedUNITER-Based Situated Coreference Resolution with Rich Multimodal Input

4 citations · 7 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AR2026

VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation

Yijun Shen, Minghao Shao, Yichen Zhao +4

Large Language Models (LLM) have shown impressive capabilities in Register Transfer Level (RTL) code generation, particularly for Verilog. However, evaluating their performance wit…

cs.CV2025

VLA-Mark: A cross modal watermark for large vision-language alignment model

Shuliang Liu, Qi Zheng, Jesse Jiaxi Xu +8

Vision-language models demand watermarking solutions that protect intellectual property without compromising multimodal coherence. Existing text watermarking methods disrupt visual…

cs.AI2024

Enhancing Mathematical Reasoning in LLMs with Background Operators

Jiajun Chen, Yik-Cheung Tam

We propose utilizing background operators for mathematical reasoning in large language models (LLMs). To achieve this, we define a set of fundamental mathematical predicates as the…

cs.CL2024

Arithmetic Reasoning with LLM: Prolog Generation & Permutation

Xiaocheng Yang, Bingsen Chen, Yik-Cheung Tam

Instructing large language models (LLMs) to solve elementary school math problems has shown great success using Chain of Thought (CoT). However, the CoT approach relies on an LLM t…

cs.CL2023

Exploring an LM to generate Prolog Predicates from Mathematics Questions

Xiaocheng Yang, Yik-Cheung Tam

Recently, there has been a surge in interest in NLP driven by ChatGPT. ChatGPT, a transformer-based generative language model of substantial scale, exhibits versatility in performi…

cs.CL2022

Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors

Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou +3

Performance of spoken language understanding (SLU) can be degraded with automatic speech recognition (ASR) errors. We propose a novel approach to improve SLU robustness by randomly…

cs.CL2022

Suffix Retrieval-Augmented Language Modeling

Zecheng Wang, Yik-Cheung Tam

Causal language modeling (LM) uses word history to predict the next word. BERT, on the other hand, makes use of bi-directional word information in a sentence to predict words at ma…

cs.CL2021★ 4 cited

UNITER-Based Situated Coreference Resolution with Rich Multimodal Input

Yichen Huang, Yuchen Wang, Yik-Cheung Tam

We present our work on the multimodal coreference resolution task of the Situated and Interactive Multimodal Conversation 2.0 (SIMMC 2.0) dataset as a part of the tenth Dialog Syst…

cs.CL2021

Ontology-Enhanced Slot Filling

Yuhao Ding, Yik-Cheung Tam

Slot filling is a fundamental task in dialog state tracking in task-oriented dialog systems. In multi-domain task-oriented dialog system, user utterances and system responses may m…

cs.CL2020★ 3 cited

Keyword-Attentive Deep Semantic Matching

Changyu Miao, Zhen Cao, Yik-Cheung Tam

Deep Semantic Matching is a crucial component in various natural language processing applications such as question and answering (QA), where an input query is compared to each cand…