Sina J. Semnani

According to our database1, Sina J. Semnani authored at least 20 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval.
CoRR, 2024

Benchmark Underestimates the Readiness of Multi-lingual Dialogue Agents.
CoRR, 2024

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models.
CoRR, 2023

WikiChat: A Few-Shot LLM-Based Chatbot Grounded with Wikipedia.
CoRR, 2023

Complementing GPT-3 with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata.
CoRR, 2023

Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
ThingTalk: An Extensible, Executable Representation Language for Task-Oriented Dialogues.
CoRR, 2022

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020
State-Machine-Based Dialogue Agents with Few-Shot Contextual Semantic Parsers.
CoRR, 2020

Revisiting the Open-Domain Question Answering Pipeline.
CoRR, 2020

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


  Loading...