Papers by Yik-Cheung Tam
VLA-Mark: A cross modal watermark for large vision-language alignment models (2025.emnlp-main)
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Shuliang Liu, Zheng Qi, Jesse Jiaxi Xu, Yibo Yan, Junyan Zhang, He Geng, Aiwei Liu, Peijie Jiang, Jia Liu, Yik-Cheung Tam, Xuming Hu
| Challenge: | Existing text watermarking methods disrupt visual-textual alignment, leaving semantic-critical concepts vulnerable. |
| Approach: | They propose a vision-aligned framework that embeds detectable watermarks into outputs . they combine localized patch affinity, global semantic coherence, contextual attention patterns . |
| Outcome: | The proposed framework shows lower PPL and higher BLEU than conventional methods with near-perfect detection (98.8% AUC). |
Arithmetic Reasoning with LLM: Prolog Generation & Permutation (2024.naacl-short)
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| Challenge: | Existing work has shown that large language models can generate arithmetic and commonsense reasoning, but they are not native to mathematical operations and symbolic manipulations. |
| Approach: | They propose to use large language models to generate Prolog programs to solve math problems using a code interpreter to generate arithmetic and symbolic formulas. |
| Outcome: | The proposed model outperforms CoT generation in the GSM8K benchmark across three LLMs. |
Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation (P19-1)
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| Challenge: | Rhetoric is a vital element in modern Chinese poetry, and plays an essential role in improving its aesthetics. however, to date, it has not been considered in research on automatic poetry generation. |
| Approach: | They propose a rhetorically controlled encoder-decoder for modern Chinese poetry generation . their model captures various rhetorical patterns in an encoder and incorporates mixtures . |
| Outcome: | The proposed model outperforms state-of-the-art methods in terms of fluency, coherence, meaningfulness, and rhetorical aesthetics. |
Read and Comprehend by Gated-Attention Reader with More Belief (N18-4)
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| Challenge: | Existing approaches to read comprehension using gated-attention have been effective . collaborative gating and self-belief aggregation are proposed to address these assumptions . |
| Approach: | They propose to use a document-to-query attention system to gate token encodings of a query . they conjecture that query tokens other than the cloze token may be informative . |
| Outcome: | The proposed approaches advance the state-of-the-art results in CNN, Daily Mail, and Who Did What public test sets. |
Predicate-Guided Generation for Mathematical Reasoning (2025.emnlp-main)
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| Challenge: | Experimental results show that Prolog-MATH generates 81.3% solution coverage on Deepseek-V3 . |
| Approach: | They propose a curated corpus to support mathematical reasoning in large language models . they propose supervised fine-tuning followed by GRPO training to address problems that Deepseek-V3 fails to solve. |
| Outcome: | The proposed pipeline achieves 81.3% solution coverage on the Deepseek-V3 training set. |