History Based Unsupervised Data Oriented Parsing. - Mohsen Mesgar; Gholamreza Ghasem-Sani (RANLP, 2013)

Normalized Entity Graph for Computing Local Coherence. - Mohsen Mesgar; Michael Strube 001 (TextGraphs@EMNLP, 2014)

Graph-based Coherence Modeling For Assessing Readability. - Mohsen Mesgar; Michael Strube 001 (*SEM@NAACL-HLT, 2015)

Feature-Rich Error Detection in Scientific Writing Using Logistic Regression. - Madeline Remse; Mohsen Mesgar; Michael Strube 001 (BEA@NAACL-HLT, 2016)

Generating Coherent Summaries of Scientific Articles Using Coherence Patterns. - Daraksha Parveen; Mohsen Mesgar; Michael Strube 001 (EMNLP, 2016)

Lexical Coherence Graph Modeling Using Word Embeddings. - Mohsen Mesgar; Michael Strube 001 (HLT-NAACL, 2016)

Using a Graph-based Coherence Model in Document-Level Machine Translation. - Leo Born; Mohsen Mesgar; Michael Strube 001 (DiscoMT@EMNLP, 2017)

A Neural Local Coherence Model for Text Quality Assessment. - Mohsen Mesgar; Michael Strube 001 (EMNLP, 2018)

Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. - Yang Gao 021; Christian M. Meyer; Mohsen Mesgar; Iryna Gurevych (IJCAI, 2019)

Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. - Steffen Eger; Gözde Gül Sahin; Andreas Rücklé; Ji-Ung Lee; Claudia Schulz 001; Mohsen Mesgar; Krishnkant Swarnkar; Edwin Simpson; Iryna Gurevych (NAACL-HLT (1), 2019)

A Neural Model for Dialogue Coherence Assessment. - Mohsen Mesgar; Sebastian Bücker; Iryna Gurevych (CoRR, 2019)

When is ACL's Deadline? A Scientific Conversational Agent. - Mohsen Mesgar; Paul Youssef; Lin Li; Dominik Bierwirth; Yihao Li; Christian M. Meyer; Iryna Gurevych (CoRR, 2019)

Dialogue Coherence Assessment Without Explicit Dialogue Act Labels. - Mohsen Mesgar; Sebastian Bücker; Iryna Gurevych (ACL, 2020)

Generating Persona-Consistent Dialogue Responses Using Deep Reinforcement Learning. - Mohsen Mesgar; Edwin Simpson; Yue Wang; Iryna Gurevych (CoRR, 2020)

Graph-based Patterns for Local Coherence Modeling. - Mohsen Mesgar (2020)

Improving Factual Consistency Between a Response and Persona Facts. - Mohsen Mesgar; Edwin Simpson; Iryna Gurevych (EACL, 2021)

A Neural Graph-based Local Coherence Model. - Mohsen Mesgar; Leonardo F. R. Ribeiro; Iryna Gurevych (EMNLP (Findings), 2021)

ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers. - Federico Ruggeri; Mohsen Mesgar; Iryna Gurevych (CoRR, 2022)

Asking Clarification Questions for Code Generation in General-Purpose Programming Language. - Haau-Sing Li; Mohsen Mesgar; André F. T. Martins; Iryna Gurevych (CoRR, 2022)

Python Code Generation by Asking Clarification Questions. - Haau-Sing Li; Mohsen Mesgar; André F. T. Martins; Iryna Gurevych (ACL (1), 2023)

A Dataset of Argumentative Dialogues on Scientific Papers. - Federico Ruggeri; Mohsen Mesgar; Iryna Gurevych (ACL (1), 2023)

The Devil is in the Details: On Models and Training Regimes for Few-Shot Intent Classification. - Mohsen Mesgar; Thy Thy Tran; Goran Glavas; Iryna Gurevych (EACL, 2023)

Is the Answer in the Text? Challenging ChatGPT with Evidence Retrieval from Instructive Text. - Sophie Henning; Talita Anthonio; Wei Zhou; Heike Adel; Mohsen Mesgar; Annemarie Friedrich (EMNLP (Findings), 2023)

LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. - Wen Lai; Mohsen Mesgar; Alexander Fraser 001 (ACL (Findings), 2024)

A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites. - Anna Hätty; Dragan Milchevski; Kersten Döring; Marko Putnikovic; Mohsen Mesgar; Filip Novovic; Maximilian Braun; Karina Borimann; Igor Stranjanac (EMNLP (Industry Track), 2024)

FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. - Wei Zhou; Mohsen Mesgar; Heike Adel; Annemarie Friedrich (NAACL-HLT, 2024)

Texts or Images? A Fine-grained Analysis on the Effectiveness of Input Representations and Models for Table Question Answering. - Wei Zhou; Mohsen Mesgar; Heike Adel; Annemarie Friedrich (ACL (Findings), 2025)

Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering. - Wei Zhou; Mohsen Mesgar; Annemarie Friedrich; Heike Adel (NAACL (Findings), 2025)

PPT: A Process-based Preference Learning Framework for Self Improving Table Question Answering Models. - Wei Zhou; Mohsen Mesgar; Heike Adel; Annemarie Friedrich (CoRR, 2025)