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Wai Lam

4 papers hereh-index 4167 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Wai Lam — 45 papers, h 50
  • Wai Lam — 34 papers, h 22
  • Wai Lam — 11 papers, h 3
  • Wai Lam — 7 papers, h 7
  • Wai Lam — 5 papers, h 4
  • Wai Lam — 5 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedPlug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents

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

collaborators

4 papers

cs.CL2023★ 2 cited

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents

Yang Deng, Wenxuan Zhang, Wai Lam +2

Proactive dialogues serve as a practical yet challenging dialogue problem in the era of large language models (LLMs), where the dialogue policy planning is the key to improving the…

cs.CL2023★ 1 cited

DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text

Shuaiyi Li, Yang Deng, Wai Lam

Spatial reasoning in text plays a crucial role in various real-world applications. Existing approaches for spatial reasoning typically infer spatial relations from pure text, which…

cs.CL2023

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning

Chang Gao, Wenxuan Zhang, Guizhen Chen +1

Instruction tuning is vital for enhancing the performance of large language models (LLMs), but existing text-to-text methods, referred to as TextTuning, struggle with issues such a…

cs.CL2023★ 1 cited

Social Media Fashion Knowledge Extraction as Captioning

Yifei Yuan, Wenxuan Zhang, Yang Deng +1

Social media plays a significant role in boosting the fashion industry, where a massive amount of fashion-related posts are generated every day. In order to obtain the rich fashion…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.