Ehsan Shareghi

Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning AAAI 2026 Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning ACL 2026 Discrete Minds in a Continuous World: Do Language Models Know Time Passes? EMNLP 2025 Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models ICML 2025 All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning EMNLP 2025 Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025 ReasonGraph: Visualization of Reasoning Methods and Extended Inference Paths ACL 2025 Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models ACL 2025 Audio Is the Achilles’ Heel: Red Teaming Audio Large Multimodal Models NAACL 2025 Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models EMNLP 2025 Logical Reasoning with Outcome Reward Models for Test-Time Scaling EMNLP 2025 VerifiAgent: a Unified Verification Agent in Language Model Reasoning EMNLP 2025 Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence NAACL 2024 Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance EACL 2024 Can LLMs Reason in the Wild with Programs? EMNLP 2024 Reward Engineering for Generating Semi-structured Explanation EACL 2024 Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation ACL 2024 Towards Uncertainty-Aware Language Agent ACL 2024 Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR EMNLP 2024 PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ACL 2024 Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights EMNLP 2024 POSQA: Probe the World Models of LLMs with Size Comparisons EMNLP 2023 A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023 Generating Synthetic Speech from SpokenVocab for Speech Translation EACL 2023 A Minimal Approach for Natural Language Action Space in Text-based Games CONLL 2023 Koala: An Index for Quantifying Overlaps with Pre-training Corpora EMNLP 2023 Investigating Pre-trained Audio Encoders in the Low-Resource Condition INTERSPEECH 2023 Self-supervised Rewiring of Pre-trained Speech Encoders:Towards Faster Fine-tuning with Less Labels in Speech Processing EMNLP 2022 TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning NAACL 2022 Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games ACL 2022 On the Effect of Isotropy on VAE Representations of Text ACL 2022 Self-supervised Graph Masking Pre-training for Graph-to-Text Generation EMNLP 2022 Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models ACL 2022 RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise EMNLP 2022 Plug-and-Play Recipe Generation with Content Planning EMNLP 2022 M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation INTERSPEECH 2022 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters IJCNLP 2021 Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders ACL 2021 Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets ACL 2021 Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification EACL 2021 Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT EMNLP 2021 It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data EMNLP 2021 Integrating Transformers and Knowledge Graphs for Twitter Stance Detection EMNLP 2021 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters ACL 2021 Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders IJCNLP 2021 Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets IJCNLP 2021 Self-Alignment Pretraining for Biomedical Entity Representations NAACL 2021 COMETA: A Corpus for Medical Entity Linking in the Social Media EMNLP 2020 Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines NAACL 2019 On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation EMNLP 2019 Bayesian Learning for Neural Dependency Parsing NAACL 2019 Compressed Nonparametric Language Modelling IJCAI 2017 Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling EMNLP 2016 Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees EMNLP 2015