| 2026 | AAAI | Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2026 | ACL | Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning. | Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat, Ehsan Shareghi, Nigel Collier |
| 2026 | ACL | Towards Inference-time Scaling for Continuous Space Reasoning. | Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari |
| 2026 | CoNLL | Could language models win the International Linguistics Olympiad? | Jamie Garnham, Ehsan Shareghi |
| 2025 | ACL | ReasonGraph: Visualization of Reasoning Methods and Extended Inference Paths. | Zongqian Li, Ehsan Shareghi, Nigel Collier |
| 2025 | EMNLP | VerifiAgent: a Unified Verification Agent in Language Model Reasoning. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2025 | EMNLP | Logical Reasoning with Outcome Reward Models for Test-Time Scaling. | Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi |
| 2025 | EMNLP | Assessing the Sensitivity and Alignment of FOL Closeness Metrics. | Ramya Keerthy Thatikonda, Wray L. Buntine, Ehsan Shareghi |
| 2025 | EMNLP | Discrete Minds in a Continuous World: Do Language Models Know Time Passes? | Minghan Wang, Ye Bai, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari |
| 2025 | EMNLP | Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models. | Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari |
| 2025 | EMNLP | All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning. | Caiqi Zhang, Chang Shu, Ehsan Shareghi, Nigel Collier |
| 2025 | ICML | Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models. | Yinhong Liu, Zhijiang Guo, Tianya Liang, Ehsan Shareghi, Ivan Vulic, Nigel Collier |
| 2025 | Interspeech | SpeechDialogueFactory: A Framework for Natural Speech Dialogue Generation. | Minghan Wang, Ye Bai, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari |
| 2025 | NAACL | Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models. | Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari |
| 2024 | ACL | Towards Uncertainty-Aware Language Agent. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2024 | ACL | PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. | Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi |
| 2024 | ACL | Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation. | Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri |
| 2024 | EACL | Reward Engineering for Generating Semi-structured Explanation. | Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi |
| 2024 | EACL | Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance. | Adrian Theuma, Ehsan Shareghi |
| 2024 | EMNLP | Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. | Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Reza Haf |
| 2024 | EMNLP | Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. | Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf |
| 2024 | EMNLP | Can LLMs Reason in the Wild with Programs? | Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri |
| 2024 | NAACL | Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence. | Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier |
| 2023 | CogSci | On Reality and the Limits of Language Data: Aligning LLMs with Human Norms. | Nigel Collier, Fangyu Liu, Ehsan Shareghi |
| 2023 | CoNLL | A Minimal Approach for Natural Language Action Space in Text-based Games. | Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi |
| 2023 | EACL | Generating Synthetic Speech from SpokenVocab for Speech Translation. | Jinming Zhao, Gholamreza Haffari, Ehsan Shareghi |
| 2023 | EMNLP | POSQA: Probe the World Models of LLMs with Size Comparisons. | Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier |
| 2023 | EMNLP | Koala: An Index for Quantifying Overlaps with Pre-training Corpora. | Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi |
| 2023 | Interspeech | Investigating Pre-trained Audio Encoders in the Low-Resource Condition. | Hao Yang, Jinming Zhao, Gholamreza Haffari, Ehsan Shareghi |
| 2022 | ACL | Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. | Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier |
| 2022 | ACL | Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games. | Dongwon Ryu, Ehsan Shareghi, Meng Fang, Yunqiu Xu, Shirui Pan, Gholamreza Haffari |
| 2022 | ACL | On the Effect of Isotropy on VAE Representations of Text. | Lan Zhang, Wray L. Buntine, Ehsan Shareghi |
| 2022 | EMNLP | Self-supervised Graph Masking Pre-training for Graph-to-Text Generation. | Jiuzhou Han, Ehsan Shareghi |
| 2022 | EMNLP | Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing. | Hao Yang, Jinming Zhao, Gholamreza Haffari, Ehsan Shareghi |
| 2022 | EMNLP | RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise. | Jinming Zhao, Hao Yang, Gholamreza Haffari, Ehsan Shareghi |
| 2022 | Interspeech | M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation. | Jinming Zhao, Hao Yang, Gholamreza Haffari, Ehsan Shareghi |
| 2022 | NAACL | TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. | Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier |
| 2021 | ACL | A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters. | Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulic, Roi Reichart, Anna Korhonen, Hinrich Schtze |
| 2021 | EACL | Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification. | Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen |
| 2021 | EMNLP | Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. | Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier |
| 2021 | EMNLP | It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data. | Jinming Zhao, Philip Arthur, Gholamreza Haffari, Trevor Cohn, Ehsan Shareghi |
| 2021 | NAACL | Self-Alignment Pretraining for Biomedical Entity Representations. | Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier |
| 2020 | EMNLP | COMETA: A Corpus for Medical Entity Linking in the Social Media. | Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier |
| 2019 | EMNLP | On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation. | Victor Prokhorov, Ehsan Shareghi, Yingzhen Li, Mohammad Taher Pilehvar, Nigel Collier |
| 2019 | NAACL | Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines. | Ehsan Shareghi, Daniela Gerz, Ivan Vulic, Anna Korhonen |
| 2019 | NAACL | Bayesian Learning for Neural Dependency Parsing. | Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart, Anna Korhonen |
| 2017 | IJCAI | Compressed Nonparametric Language Modelling. | Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn |
| 2016 | EMNLP | Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. | Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari |
| 2015 | EMNLP | Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees. | Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn |
| 2013 | AI | Feature Combination for Sentence Similarity. | Ehsan Shareghi, Sabine Bergler |