| 2026 | ACL | Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation. | Wei Zhou, Bolei Ma, Annemarie Friedrich, Mohsen Mesgar |
| 2026 | EACL | Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering. | Lei Tang, Wei Zhou, Mohsen Mesgar |
| 2025 | ACL | 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 |
| 2025 | IJCNLP | p²-TQA: A Process-based Preference Learning Framework for Self-Improving Table Question Answering Models. | Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich |
| 2025 | NAACL | Efficient Multi-Agent Collaboration with Tool Use for Online Planning in Complex Table Question Answering. | Wei Zhou, Mohsen Mesgar, Annemarie Friedrich, Heike Adel |
| 2024 | ACL | LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. | Wen Lai, Mohsen Mesgar, Alexander Fraser |
| 2024 | EMNLP | A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites. | Anna Htty, Dragan Milchevski, Kersten Dring, Marko Putnikovic, Mohsen Mesgar, Filip Novovic, Maximilian Braun, Karina Borimann, Igor Stranjanac |
| 2024 | NAACL | FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering. | Wei Zhou, Mohsen Mesgar, Heike Adel, Annemarie Friedrich |
| 2023 | ACL | Python Code Generation by Asking Clarification Questions. | Haau-Sing Li, Mohsen Mesgar, Andr F. T. Martins, Iryna Gurevych |
| 2023 | ACL | A Dataset of Argumentative Dialogues on Scientific Papers. | Federico Ruggeri, Mohsen Mesgar, Iryna Gurevych |
| 2023 | EACL | 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 |
| 2023 | EMNLP | 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 |
| 2021 | EACL | Improving Factual Consistency Between a Response and Persona Facts. | Mohsen Mesgar, Edwin Simpson, Iryna Gurevych |
| 2021 | EMNLP | A Neural Graph-based Local Coherence Model. | Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych |
| 2020 | ACL | Dialogue Coherence Assessment Without Explicit Dialogue Act Labels. | Mohsen Mesgar, Sebastian Bcker, Iryna Gurevych |
| 2019 | IJCAI | Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation. | Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych |
| 2019 | NAACL | Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems. | Steffen Eger, Gzde Gl Sahin, Andreas Rckl, Ji-Ung Lee, Claudia Schulz, Mohsen Mesgar, Krishnkant Swarnkar, Edwin Simpson, Iryna Gurevych |
| 2018 | EMNLP | A Neural Local Coherence Model for Text Quality Assessment. | Mohsen Mesgar, Michael Strube |
| 2016 | EMNLP | Generating Coherent Summaries of Scientific Articles Using Coherence Patterns. | Daraksha Parveen, Mohsen Mesgar, Michael Strube |
| 2016 | NAACL | Lexical Coherence Graph Modeling Using Word Embeddings. | Mohsen Mesgar, Michael Strube |
| 2013 | RANLP | History Based Unsupervised Data Oriented Parsing. | Mohsen Mesgar, Gholamreza Ghasem-Sani |