Text summarization with harmony search algorithm-based sentence extraction. - Ehsan Shareghi; Leila Sharif Hassanabadi (CSTST, 2008)

Feature Combination for Sentence Similarity. - Ehsan Shareghi; Sabine Bergler (Canadian AI, 2013)

CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity. - Ehsan Shareghi; Sabine Bergler (*SEM@NAACL-HLT, 2013)

Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees. - Ehsan Shareghi; Matthias Petri; Gholamreza Haffari; Trevor Cohn (EMNLP, 2015)

Structured Prediction of Sequences and Trees Using Infinite Contexts. - Ehsan Shareghi; Gholamreza Haffari; Trevor Cohn; Ann E. Nicholson (ECML/PKDD (2), 2015)

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling. - Ehsan Shareghi; Trevor Cohn; Gholamreza Haffari (EMNLP, 2016)

Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees. - Ehsan Shareghi; Matthias Petri; Gholamreza Haffari; Trevor Cohn (Trans. Assoc. Comput. Linguistics, 2016)

Compressed Nonparametric Language Modelling. - Ehsan Shareghi; Gholamreza Haffari; Trevor Cohn (IJCAI, 2017)

Scalable Non-Markovian Sequential Modelling for Natural Language Processing. - Ehsan Shareghi (2017)

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 (NGT@EMNLP-IJCNLP, 2019)

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 (NAACL-HLT (1), 2019)

Bayesian Learning for Neural Dependency Parsing. - Ehsan Shareghi; Yingzhen Li; Yi Zhu; Roi Reichart; Anna Korhonen (NAACL-HLT (1), 2019)

COMETA: A Corpus for Medical Entity Linking in the Social Media. - Marco Basaldella; Fangyu Liu 001; Ehsan Shareghi; Nigel Collier (EMNLP (1), 2020)

Hierarchical Sparse Variational Autoencoder for Text Encoding. - Victor Prokhorov; Yingzhen Li; Ehsan Shareghi; Nigel Collier (CoRR, 2020)

Self-alignment Pre-training for Biomedical Entity Representations. - Fangyu Liu 001; Ehsan Shareghi; Zaiqiao Meng; Marco Basaldella; Nigel Collier (CoRR, 2020)

A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines. - Mengjie Zhao; Yi Zhu; Ehsan Shareghi; Roi Reichart; Anna Korhonen; Hinrich Schütze (CoRR, 2020)

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 Schütze (ACL/IJCNLP (1), 2021)

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection. - Thomas Hikaru Clark; Costanza Conforti; Fangyu Liu 001; Zaiqiao Meng; Ehsan Shareghi; Nigel Collier (W-NUT, 2021)

Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification. - Yi Zhu; Ehsan Shareghi; Yingzhen Li; Roi Reichart; Anna Korhonen (EACL, 2021)

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. - Zaiqiao Meng; Fangyu Liu 001; Thomas Hikaru Clark; Ehsan Shareghi; Nigel Collier (EMNLP (1), 2021)

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 (EMNLP (1), 2021)

Self-Alignment Pretraining for Biomedical Entity Representations. - Fangyu Liu 001; Ehsan Shareghi; Zaiqiao Meng; Marco Basaldella; Nigel Collier (NAACL-HLT, 2021)

Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders. - Victor Prokhorov; Yingzhen Li; Ehsan Shareghi; Nigel Collier (RepL4NLP@ACL-IJCNLP, 2021)

Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets. - Lan Zhang; Victor Prokhorov; Ehsan Shareghi (RepL4NLP@ACL-IJCNLP, 2021)

The Neglected Sibling: Isotropic Gaussian Posterior for VAE. - Lan Zhang; Wray L. Buntine; Ehsan Shareghi (CoRR, 2021)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Lei Shu 004; Ehsan Shareghi; Nigel Collier (CoRR, 2021)

Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. - Zaiqiao Meng; Fangyu Liu 001; Ehsan Shareghi; Yixuan Su; Charlotte Collins; Nigel Collier (ACL (1), 2022)

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 (ACL (2), 2022)

On the Effect of Isotropy on VAE Representations of Text. - Lan Zhang; Wray L. Buntine; Ehsan Shareghi (ACL (2), 2022)

Self-supervised Graph Masking Pre-training for Graph-to-Text Generation. - Jiuzhou Han; Ehsan Shareghi (EMNLP, 2022)

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 (EMNLP (Findings), 2022)

RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise. - Jinming Zhao; Hao Yang; Gholamreza Haffari; Ehsan Shareghi (EMNLP (Findings), 2022)

M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation. - Jinming Zhao; Hao Yang; Gholamreza Haffari; Ehsan Shareghi (INTERSPEECH, 2022)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Tian Lan 003; Lei Shu 004; Ehsan Shareghi; Nigel Collier (NAACL-HLT (Findings), 2022)

On Reality and the Limits of Language Data. - Nigel H. Collier; Fangyu Liu 001; Ehsan Shareghi (CoRR, 2022)

RedApt: An Adaptor for wav2vec 2 Encoding Faster and Smaller Speech Translation without Quality Compromise. - Jinming Zhao; Hao Yang; Gholamreza Haffari; Ehsan Shareghi (CoRR, 2022)

Plug-and-Play Recipe Generation with Content Planning. - Yinhong Liu; Yixuan Su; Ehsan Shareghi; Nigel Collier (CoRR, 2022)

On Reality and the Limits of Language Data: Aligning LLMs with Human Norms. - Nigel Collier; Fangyu Liu 001; Ehsan Shareghi (CogSci, 2023)

A Minimal Approach for Natural Language Action Space in Text-based Games. - Dongwon Ryu; Meng Fang; Gholamreza Haffari; Shirui Pan; Ehsan Shareghi (CoNLL, 2023)

Generating Synthetic Speech from SpokenVocab for Speech Translation. - Jinming Zhao; Gholamreza Haffari; Ehsan Shareghi (EACL (Findings), 2023)

POSQA: Probe the World Models of LLMs with Size Comparisons. - Chang Shu; Jiuzhou Han; Fangyu Liu 001; Ehsan Shareghi; Nigel Collier (EMNLP (Findings), 2023)

Koala: An Index for Quantifying Overlaps with Pre-training Corpora. - Thuy-Trang Vu; Xuanli He; Gholamreza Haffari; Ehsan Shareghi (EMNLP (Demos), 2023)

Investigating Pre-trained Audio Encoders in the Low-Resource Condition. - Hao Yang; Jinming Zhao; Gholamreza Haffari; Ehsan Shareghi (INTERSPEECH, 2023)

FireAct: Toward Language Agent Fine-tuning. - Baian Chen; Chang Shu; Ehsan Shareghi; Nigel Collier; Karthik Narasimhan; Shunyu Yao (CoRR, 2023)

Instruct-SCTG: Guiding Sequential Controlled Text Generation through Instructions. - Yinhong Liu; Yixuan Su; Ehsan Shareghi; Nigel Collier (CoRR, 2023)

A Closer Look at Tool-based Logical Reasoning with LLMs: The Choice of Tool Matters. - Long Hei Matthew Lam; Ramya Keerthy Thatikonda; Ehsan Shareghi (ALTA, 2024)

Simultaneous Machine Translation with Large Language Models. - Minghan Wang; Thuy-Trang Vu; Jinming Zhao; Fatemeh Shiri; Ehsan Shareghi; Gholamreza Haffari (ALTA, 2024)

Towards Uncertainty-Aware Language Agent. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (ACL (Findings), 2024)

PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. - Jiuzhou Han; Nigel Collier; Wray L. Buntine; Ehsan Shareghi (ACL (Findings), 2024)

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 (ACL (1), 2024)

Reward Engineering for Generating Semi-structured Explanation. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (EACL (Findings), 2024)

Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance. - Adrian Theuma; Ehsan Shareghi (EACL (2), 2024)

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. - Minghan Wang; Yuxia Wang; Thuy-Trang Vu; Ehsan Shareghi; Reza Haf (EMNLP (Findings), 2024)

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Reza Haf (EMNLP, 2024)

Can LLMs Reason in the Wild with Programs? - Yuan Yang; Siheng Xiong; Ali Payani; Ehsan Shareghi; Faramarz Fekri (EMNLP (Findings), 2024)

Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence. - Yinhong Liu; Yixuan Su; Ehsan Shareghi; Nigel Collier (NAACL (Short Papers), 2024)

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models. - Minghan Wang; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence. - Mahsa Salehi; Kalin Stefanov; Ehsan Shareghi (CoRR, 2024)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators. - Yinhong Liu; Han Zhou 010; Zhijiang Guo; Ehsan Shareghi; Ivan Vulic; Anna Korhonen; Nigel Collier (CoRR, 2024)

A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters. - Long Hei Matthew Lam; Ehsan Shareghi (CoRR, 2024)

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR. - Minghan Wang; Yuxia Wang; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

The Compressor-Retriever Architecture for Language Model OS. - Yuan Yang; Siheng Xiong; Ehsan Shareghi; Faramarz Fekri (CoRR, 2024)

Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification. - Ramya Keerthy Thatikonda; Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (CoRR, 2024)

Aligning with Logic: Measuring, Evaluating and Improving Logical Consistency in Large Language Models. - Yinhong Liu; Zhijiang Guo; Tianya Liang; Ehsan Shareghi; Ivan Vulic; Nigel Collier (CoRR, 2024)

Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2024)

One STEP at a time: Language Agents are Stepwise Planners. - Minh Nguyen; Ehsan Shareghi (CoRR, 2024)

Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study. - Ehsan Shareghi; Jiuzhou Han; Paul Burgess (CoRR, 2024)

Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (NAACL (Long Papers), 2025)

Assessing the Alignment of FOL Closeness Metrics with Human Judgement. - Ramya Keerthy Thatikonda; Wray L. Buntine; Ehsan Shareghi (CoRR, 2025)

ReasonGraph: Visualisation of Reasoning Paths. - Zongqian Li; Ehsan Shareghi; Nigel Collier (CoRR, 2025)

SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM Development. - Minghan Wang; Ye Bai; Yuxia Wang; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2025)

VerifiAgent: a Unified Verification Agent in Language Model Reasoning. - Jiuzhou Han; Wray L. Buntine; Ehsan Shareghi (CoRR, 2025)

Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models. - Hao Yang; Lizhen Qu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2025)

Discrete Minds in a Continuous World: Do Language Models Know Time Passes? - Minghan Wang; Ye Bai; Thuy-Trang Vu; Ehsan Shareghi; Gholamreza Haffari (CoRR, 2025)

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law. - Zheng Hui; Yijiang River Dong; Ehsan Shareghi; Nigel Collier (CoRR, 2025)