Ehsan Shareghi

According to our database, Ehsan Shareghi authored at least 66 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models.

Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2024

Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models.

Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari

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

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

The Compressor-Retriever Architecture for Language Model OS.

Yuan Yang, Siheng Xiong, Ehsan Shareghi, Faramarz Fekri

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

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR.

Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2024

A Closer Look at Logical Reasoning with LLMs: The Choice of Tool Matters.

Long Hei Matthew Lam, Ehsan Shareghi

CoRR, 2024

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators.

Yinhong Liu, Han Zhou, Zhijiang Guo, Ehsan Shareghi, Ivan Vulic, Anna Korhonen, Nigel Collier

CoRR, 2024

Human Brain Exhibits Distinct Patterns When Listening to Fake Versus Real Audio: Preliminary Evidence.

Mahsa Salehi, Kalin Stefanov, Ehsan Shareghi

CoRR, 2024

Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models.

Minghan Wang, Thuy-Trang Vu, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2024

Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence.

Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Can LLMs Reason in the Wild with Programs?

Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights.

Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR.

Minghan Wang, Yuxia Wang, Thuy-Trang Vu, Ehsan Shareghi, Reza Haf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance.

Adrian Theuma, Ehsan Shareghi

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Reward Engineering for Generating Semi-structured Explanation.

Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs.

Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Towards Uncertainty-Aware Language Agent.

Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Instruct-SCTG: Guiding Sequential Controlled Text Generation through Instructions.

Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier

CoRR, 2023

FireAct: Toward Language Agent Fine-tuning.

Baian Chen, Chang Shu, Ehsan Shareghi, Nigel Collier, Karthik Narasimhan, Shunyu Yao

CoRR, 2023

Simultaneous Machine Translation with Large Language Models.

Minghan Wang, Jinming Zhao, Thuy-Trang Vu, Fatemeh Shiri, Ehsan Shareghi, Gholamreza Haffari

CoRR, 2023

Investigating Pre-trained Audio Encoders in the Low-Resource Condition.

Hao Yang, Jinming Zhao, Gholamreza Haffari, Ehsan Shareghi

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Koala: An Index for Quantifying Overlaps with Pre-training Corpora.

Thuy-Trang Vu, Xuanli He, Gholamreza Haffari, Ehsan Shareghi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

POSQA: Probe the World Models of LLMs with Size Comparisons.

Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Synthetic Speech from SpokenVocab for Speech Translation.

Jinming Zhao, Gholamreza Haffari, Ehsan Shareghi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

A Minimal Approach for Natural Language Action Space in Text-based Games.

Dongwon Ryu, Meng Fang, Gholamreza Haffari, Shirui Pan, Ehsan Shareghi

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

On Reality and the Limits of Language Data: Aligning LLMs with Human Norms.

Nigel Collier, Fangyu Liu, Ehsan Shareghi

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Plug-and-Play Recipe Generation with Content Planning.

Yinhong Liu, Yixuan Su, Ehsan Shareghi, Nigel Collier

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

On Reality and the Limits of Language Data.

Nigel H. Collier, Fangyu Liu, Ehsan Shareghi

CoRR, 2022

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation.

Jinming Zhao, Hao Yang, Gholamreza Haffari, Ehsan Shareghi

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise.

Jinming Zhao, Hao Yang, Gholamreza Haffari, Ehsan Shareghi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Self-supervised Graph Masking Pre-training for Graph-to-Text Generation.

Jiuzhou Han, Ehsan Shareghi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On the Effect of Isotropy on VAE Representations of Text.

Lan Zhang, Wray L. Buntine, Ehsan Shareghi

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning.

Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, Nigel Collier

CoRR, 2021

The Neglected Sibling: Isotropic Gaussian Posterior for VAE.

Lan Zhang, Wray L. Buntine, Ehsan Shareghi

CoRR, 2021

Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets.

Lan Zhang, Victor Prokhorov, Ehsan Shareghi

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders.

Victor Prokhorov, Yingzhen Li, Ehsan Shareghi, Nigel Collier

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Self-Alignment Pretraining for Biomedical Entity Representations.

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT.

Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification.

Yi Zhu, Ehsan Shareghi, Yingzhen Li, Roi Reichart, Anna Korhonen

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Integrating Transformers and Knowledge Graphs for Twitter Stance Detection.

Thomas Hikaru Clark, Costanza Conforti, Fangyu Liu, Zaiqiao Meng, Ehsan Shareghi, Nigel Collier

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Self-alignment Pre-training for Biomedical Entity Representations.

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier

CoRR, 2020

Hierarchical Sparse Variational Autoencoder for Text Encoding.

Victor Prokhorov, Yingzhen Li, Ehsan Shareghi, Nigel Collier

CoRR, 2020

COMETA: A Corpus for Medical Entity Linking in the Social Media.

Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Bayesian Learning for Neural Dependency Parsing.

Ehsan Shareghi, Yingzhen Li, Yi Zhu, Roi Reichart, Anna Korhonen

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

2017

Scalable Non-Markovian Sequential Modelling for Natural Language Processing.

Ehsan Shareghi

PhD thesis, 2017

Compressed Nonparametric Language Modelling.

Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling.

Ehsan Shareghi, Trevor Cohn, Gholamreza Haffari

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Structured Prediction of Sequences and Trees Using Infinite Contexts.

Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees.

Ehsan Shareghi, Matthias Petri, Gholamreza Haffari, Trevor Cohn

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013

CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity.

Ehsan Shareghi, Sabine Bergler

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Feature Combination for Sentence Similarity.

Ehsan Shareghi, Sabine Bergler

Proceedings of the Advances in Artificial Intelligence, 2013

2008

Text summarization with harmony search algorithm-based sentence extraction.

Ehsan Shareghi, Leila Sharif Hassanabadi

Proceedings of the CSTST 2008: Proceedings of the 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, 2008