← Authors

Gholamreza Haffari

142 papers · 2006–2026 · 18 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (13) 🌍 Conference Polyglot (18) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (34) πŸ† Grand Slam πŸ† Keyword Champion (2) 🀝 Dynamic Duo (28) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (31) 🧬 Topic Evolution ❓ The Questioner (3) ⚑ Prolific Year (20) πŸ—ƒοΈ Keyword Collector (428) πŸ’Ž Century Club (140) πŸ”₯ Unstoppable (13) πŸ“ˆ Trend Setter

Conferences

EMNLP (34) ACL (30) NAACL (16) COLING (13) EACL (11) IJCNLP (9) ICLR (6) AACL (3) CONLL (3) IJCAI (3) INTERSPEECH (3) AAAI (2) CVPR (2) NIPS (2) ICML (2) WACV (1) ICCV (1) ECCV (1)

Top co-authors

Lizhen Qu (28) Yuan-Fang Li (17) Ehsan Shareghi (16) Zhuang Li (16) Thuy-Trang Vu (14) Trevor Cohn (13) Anoop Sarkar (9) Sameen Maruf (9) Tongtong Wu (9) Dinh Phung (8)

Research topics

Privacy (1)

Keywords

neural machine translation (23) large language model (10) machine translation (9) semantic parsing (9) transfer learning (8) question answering (6) domain adaptation (6) knowledge graph (6) document-level translation (6) active learning (5) low-resource language (5) attention mechanism (5) named entity recognition (4) representation learning (4) few-shot learning (4) neural network (4) multilingual translation (3) continual learning (3) reinforcement learning (3) semi-supervised learning (3)

Papers

CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment EACL 2026
DIET: Machine Unlearning on a Data-Diet AAAI 2026
IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025
On the Reliability of Large Language Models for Causal Discovery ACL 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models ACL 2025
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models ACL 2025
Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search EMNLP 2025
NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human EMNLP 2025
Continual Learning of Large Language Models EMNLP 2025
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation NAACL 2025
Audio Is the Achilles’ Heel: Red Teaming Audio Large Multimodal Models NAACL 2025
CultureInstruct: Curating Multi-Cultural Instructions at Scale NAACL 2025
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models EMNLP 2025
Discrete Minds in a Continuous World: Do Language Models Know Time Passes? EMNLP 2025
SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media ACL 2025
Video-guided Machine Translation: A Survey of Models, Datasets, and Challenges IJCNLP 2025
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation COLING 2025
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems COLING 2025
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning NAACL 2025
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models ICML 2025
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph ICML 2025
Video-guided Machine Translation: A Survey of Models, Datasets, and Challenges AACL 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine NAACL 2025
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning ICLR 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation ICLR 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models NIPS 2024
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs ACL 2024
Presentation Matters: How to Communicate Science in the NLP Venues and in the Wild ACL 2024
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation EACL 2024
An Additive Instance-Wise Approach to Multi-class Model Interpretation ICLR 2023
Learning Object-Language Alignments for Open-Vocabulary Object Detection ICLR 2023
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models AACL 2023
Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data AACL 2023
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning ACL 2023
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery ACL 2023
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing ACL 2023
LAVA: Label-Efficient Visual Learning and Adaptation WACV 2023
A Minimal Approach for Natural Language Action Space in Text-based Games CONLL 2023
ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning CVPR 2023
Investigating Pre-trained Audio Encoders in the Low-Resource Condition INTERSPEECH 2023
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation EACL 2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex EACL 2023
Active Learning for Multilingual Semantic Parser EACL 2023
Generating Synthetic Speech from SpokenVocab for Speech Translation EACL 2023
Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data IJCNLP 2023
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models IJCNLP 2023
Koala: An Index for Quantifying Overlaps with Pre-training Corpora EMNLP 2023
A Minimal Approach for Natural Language Action Space in Text-based Games EMNLP 2023
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation ICCV 2023
Pretrained Language Model in Continual Learning: A Comparative Study ICLR 2022
M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation INTERSPEECH 2022
Teaching Neural Module Networks to Do Arithmetic COLING 2022
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training ACL 2022
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation ECCV 2022
Towards relation extraction from speech EMNLP 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022
RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise EMNLP 2022
Self-supervised Rewiring of Pre-trained Speech Encoders:Towards Faster Fine-tuning with Less Labels in Speech Processing EMNLP 2022
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation? EMNLP 2022
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs COLING 2022
Neural-Symbolic Commonsense Reasoner with Relation Predictors ACL 2021
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training CVPR 2021
Few-Shot Semantic Parsing for New Predicates EACL 2021
Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning EACL 2021
Cognition-aware Cognate Detection EACL 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction AAAI 2021
Learning to Explain: Generating Stable Explanations Fast IJCNLP 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors IJCNLP 2021
Multilingual Simultaneous Neural Machine Translation IJCNLP 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection IJCNLP 2021
Lifelong Explainer for Lifelong Learners EMNLP 2021
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection EMNLP 2021
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021
It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data EMNLP 2021
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP 2021
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text EMNLP 2021
Multilingual Simultaneous Neural Machine Translation ACL 2021
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection ACL 2021
Learning to Explain: Generating Stable Explanations Fast ACL 2021
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages COLING 2020
Context Dependent Semantic Parsing: A Survey COLING 2020
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation COLING 2020
Leveraging Discourse Rewards for Document-Level Neural Machine Translation COLING 2020
Understanding Unnatural Questions Improves Reasoning over Text COLING 2020
CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering COLING 2020
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning IJCAI 2020
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation ACL 2020
Caption Alignment for Low Resource Audio-Visual Data INTERSPEECH 2020
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning IJCAI 2020
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns ACL 2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning EMNLP 2020
Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020
Personal Information Leakage Detection in Conversations EMNLP 2020
Scene Graph Modification Based on Natural Language Commands EMNLP 2020
Findings of the WMT 2020 Shared Task on Chat Translation EMNLP 2020
Decoding As Dynamic Programming For Recurrent Autoregressive Models ICLR 2020
Selective Attention for Context-aware Neural Machine Translation NAACL 2019
Learning How to Active Learn by Dreaming ACL 2019
Neural Speech Translation using Lattice Transformations and Graph Networks EMNLP 2019
Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation EMNLP 2019
Monash University’s Submissions to the WNGT 2019 Document Translation Task EMNLP 2019
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations EMNLP 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks ACL 2018
Document Context Neural Machine Translation with Memory Networks ACL 2018
Learning How to Actively Learn: A Deep Imitation Learning Approach ACL 2018
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation ACL 2018
Iterative Back-Translation for Neural Machine Translation ACL 2018
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model COLING 2018
Learning to Actively Learn Neural Machine Translation CONLL 2018
Sequence to Sequence Mixture Model for Diverse Machine Translation CONLL 2018
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach EMNLP 2018
The Context-Dependent Additive Recurrent Neural Net NAACL 2018
Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi-Task Learning Approach NAACL 2018
Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts EACL 2017
Preserving Distributional Information in Dialogue Act Classification EMNLP 2017
Towards Decoding as Continuous Optimisation in Neural Machine Translation EMNLP 2017
A Generative Attentional Neural Network Model for Dialogue Act Classification ACL 2017
Compressed Nonparametric Language Modelling IJCAI 2017
Inter-document Contextual Language model NAACL 2016
Richer Interpolative Smoothing Based on Modified Kneser-Ney Language Modeling EMNLP 2016
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models NAACL 2016
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model NAACL 2016
Incorporating Side Information into Recurrent Neural Network Language Models NAACL 2016
Improving Word Alignment of Rare Words with Word Embeddings COLING 2016
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models NAACL 2015
Compact, Efficient and Unlimited Capacity: Language Modeling with Compressed Suffix Trees EMNLP 2015
Noisy Or-based model for Relation Extraction using Distant Supervision EMNLP 2014
An Infinite Hierarchical Bayesian Model of Phrasal Translation ACL 2013
Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules IJCNLP 2013
The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis ACL 2013
Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation ACL 2013
An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing ACL 2011
Active Learning for Statistical Phrase-based Machine Translation NAACL 2009
Active Learning for Multilingual Statistical Machine Translation ACL 2009
Active Learning for Multilingual Statistical Machine Translation IJCNLP 2009
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NIPS 2009
Hierarchical Dirichlet Trees for Information Retrieval NAACL 2009
Homotopy-Based Semi-Supervised Hidden Markov Models for Sequence Labeling COLING 2008
Transductive learning for statistical machine translation ACL 2007
Tutorial on Inductive Semi-supervised Learning Methods: with Applicability to Natural Language Processing NAACL 2006