Ehsan Shareghi
52 papers · 2015–2026 · 9 venues · across top CS/AI venues
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large language model
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knowledge graph
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self-supervised learning
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variational autoencoder
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reinforcement learning
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pretrained speech encoder
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logical reasoning
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text representation
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first-order logic
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contrastive learning
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question answering
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zero-shot learning
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Papers
Could language models win the International Linguistics Olympiad?
CoNLL 2026
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
ACL 2026
Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning
AAAI 2026
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
Audio Is the Achillesβ Heel: Red Teaming Audio Large Multimodal Models
NAACL 2025
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
ACL 2025
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
EMNLP 2025
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
EMNLP 2025
ReasonGraph: Visualization of Reasoning Methods and Extended Inference Paths
ACL 2025
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
EMNLP 2025
SpeechDialogueFactory: A Framework for Natural Speech Dialogue Generation
Interspeech 2025
VerifiAgent: a Unified Verification Agent in Language Model Reasoning
EMNLP 2025
Can LLMs Reason in the Wild with Programs?
EMNLP 2024
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance
EACL 2024
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR
EMNLP 2024
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
ACL 2024
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
ACL 2024
Reward Engineering for Generating Semi-structured Explanation
EACL 2024
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
EMNLP 2024
Towards Uncertainty-Aware Language Agent
ACL 2024
Unlocking Structure Measuring: Introducing PDD, an Automatic Metric for Positional Discourse Coherence
NAACL 2024
A Minimal Approach for Natural Language Action Space in Text-based Games
CoNLL 2023
Generating Synthetic Speech from SpokenVocab for Speech Translation
EACL 2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition
Interspeech 2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora
EMNLP 2023
POSQA: Probe the World Models of LLMs with Size Comparisons
EMNLP 2023
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games
ACL 2022
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation
Interspeech 2022
On the Effect of Isotropy on VAE Representations of Text
ACL 2022
Plug-and-Play Recipe Generation with Content Planning
EMNLP 2022
RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise
EMNLP 2022
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
ACL 2022
Self-supervised Graph Masking Pre-training for Graph-to-Text Generation
EMNLP 2022
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
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
ACL 2021
Combining Deep Generative Models and Multi-lingual Pretraining for Semi-supervised Document Classification
EACL 2021
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection
EMNLP 2021
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data
EMNLP 2021
Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders
ACL 2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
EMNLP 2021
Self-Alignment Pretraining for Biomedical Entity Representations
NAACL 2021
Unsupervised Representation Disentanglement of Text: An Evaluation on Synthetic Datasets
ACL 2021
COMETA: A Corpus for Medical Entity Linking in the Social Media
EMNLP 2020
Bayesian Learning for Neural Dependency Parsing
NAACL 2019
On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation
EMNLP 2019
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines
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