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2020 – today
- 2024
[c19]Wen Lai, Mohsen Mesgar, Alexander Fraser:
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. ACL (Findings) 2024: 8186-8213- [c18]Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich:
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. NAACL-HLT 2024: 2479-2497 - [i10]Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich:
FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. CoRR abs/2404.18585 (2024) - [i9]Wen Lai, Mohsen Mesgar, Alexander Fraser:
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. CoRR abs/2406.01771 (2024) - 2023
- [c17]Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych:
A Dataset of Argumentative Dialogues on Scientific Papers. ACL (1) 2023: 7684-7699 - [c16]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Python Code Generation by Asking Clarification Questions. ACL (1) 2023: 14287-14306 - [c15]Mohsen Mesgar, Thy Thy Tran
, Goran Glavas, Iryna Gurevych:
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. EACL 2023: 1838-1849 - [c14]Sophie Henning, Talita Anthonio, Wei Zhou, Heike Adel, Mohsen Mesgar, Annemarie Friedrich:
Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text. EMNLP (Findings) 2023: 14229-14241 - 2022
- [i8]Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych:
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers. CoRR abs/2202.06690 (2022) - [i7]Mohsen Mesgar, Thy Thy Tran, Goran Glavas, Iryna Gurevych:
The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. CoRR abs/2210.06440 (2022) - [i6]Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych:
Asking Clarification Questions for Code Generation in General-Purpose Programming Language. CoRR abs/2212.09885 (2022) - 2021
- [c13]Mohsen Mesgar, Edwin Simpson, Iryna Gurevych:
Improving Factual Consistency Between a Response and Persona Facts. EACL 2021: 549-562 - [c12]Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych:
A Neural Graph-based Local Coherence Model. EMNLP (Findings) 2021: 2316-2321 - 2020
- [b1]Mohsen Mesgar:
Graph-based Patterns for Local Coherence Modeling. University of Heidelberg, Germany, 2020 - [c11]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels. ACL 2020: 1439-1450 - [i5]Mohsen Mesgar, Edwin Simpson, Yue Wang, Iryna Gurevych:
Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. CoRR abs/2005.00036 (2020)
2010 – 2019
- 2019
- [c10]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. IJCAI 2019: 2350-2356 - [c9]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. NAACL-HLT (1) 2019: 1634-1647 - [i4]Steffen Eger, Gözde Gül Sahin, Andreas Rücklé, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych:
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. CoRR abs/1903.11508 (2019) - [i3]Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych:
Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. CoRR abs/1907.12894 (2019) - [i2]Mohsen Mesgar, Sebastian Bücker, Iryna Gurevych:
A Neural Model for Dialogue Coherence Assessment. CoRR abs/1908.08486 (2019) - [i1]Mohsen Mesgar, Paul Youssef, Lin Li, Dominik Bierwirth, Yihao Li, Christian M. Meyer, Iryna Gurevych:
When is ACL's Deadline? A Scientific Conversational Agent. CoRR abs/1911.10392 (2019) - 2018
- [c8]Mohsen Mesgar, Michael Strube:
A Neural Local Coherence Model for Text Quality Assessment. EMNLP 2018: 4328-4339 - 2017
- [c7]Leo Born, Mohsen Mesgar, Michael Strube:
Using a Graph-based Coherence Model in Document-Level Machine Translation. DiscoMT@EMNLP 2017: 26-35 - 2016
- [c6]Madeline Remse, Mohsen Mesgar, Michael Strube:
Feature-Rich Error Detection in Scientific Writing Using Logistic Regression. BEA@NAACL-HLT 2016: 162-171 - [c5]Daraksha Parveen, Mohsen Mesgar, Michael Strube:
Generating Coherent Summaries of Scientific Articles Using Coherence Patterns. EMNLP 2016: 772-783 - [c4]Mohsen Mesgar, Michael Strube:
Lexical Coherence Graph Modeling Using Word Embeddings. HLT-NAACL 2016: 1414-1423 - 2015
- [c3]Mohsen Mesgar, Michael Strube:
Graph-based Coherence Modeling For Assessing Readability. *SEM@NAACL-HLT 2015: 309-318 - 2014
- [c2]Mohsen Mesgar, Michael Strube:
Normalized Entity Graph for Computing Local Coherence. TextGraphs@EMNLP 2014: 1-5 - 2013
- [c1]Mohsen Mesgar, Gholamreza Ghasem-Sani:
History Based Unsupervised Data Oriented Parsing. RANLP 2013: 453-459
Coauthor Index
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