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M. Lam

16 papers hereh-index 7324.9k citations219 works total

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

author position
  • first author1
  • middle author1
  • last author13

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.CR1
  • cs.CV1
  • cs.HC1
  • cs.PL1
same name
  • M. Lam — 124 papers, h 41
  • M. Lam — 21 papers, h 11
  • M. Lam — 16 papers, h 7
  • M. Lam — 7 papers, h 3
  • M. Lam — 4 papers, h 4
  • M. Lam — 4 papers, h 3

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

activity
20192023
most citedWikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

32 citations · 111 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CL2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents

Mehrad Moradshahi, Tianhao Shen, Kalika Bali +16

Task-oriented dialogue research has mainly focused on a few popular languages like English and Chinese, due to the high dataset creation cost for a new language. To reduce the cost…

cs.CL2023★ 32 cited

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia

Sina J. Semnani, Violet Z. Yao, Heidi C. Zhang +1

This paper presents the first few-shot LLM-based chatbot that almost never hallucinates and has high conversationality and low latency. WikiChat is grounded on the English Wikipedi…

cs.CL2023

Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation

Mehrad Moradshahi, Sina J. Semnani, Monica S. Lam

Task-oriented Dialogue (ToD) agents are mostly limited to a few widely-spoken languages, mainly due to the high cost of acquiring training data for each language. Existing low-cost…

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