Gholamreza Haffari
143 papers · 2006–2026 · 18 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+17 more ↓ Show less ↑
π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (18)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Conference Loyalist
(34)
π
Grand Slam
π
Keyword Champion
(2)
π€
Dynamic Duo
(28)
π±
Topic Pioneer
π¬
Deep Specialist
(31)
π§¬
Topic Evolution
β
The Questioner
(3)
β‘
Prolific Year
(20)
ποΈ
Keyword Collector
(428)
π
Century Club
(140)
π₯
Unstoppable
(13)
π
Trend Setter
Conferences
EMNLP (34)
ACL (31)
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
Research topics
Keywords
neural machine translation
(23)
large language model
(11)
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
LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations
ACL 2026
CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment
EACL 2026
DIET: Machine Unlearning on a Data-Diet
AAAI 2026
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
ICML 2025
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
EMNLP 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
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
EMNLP 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation
NAACL 2025
Audio Is the Achillesβ Heel: Red Teaming Audio Large Multimodal Models
NAACL 2025
SurveyPilot: an Agentic Framework for Automated Human Opinion Collection from Social Media
ACL 2025
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
CultureInstruct: Curating Multi-Cultural Instructions at Scale
NAACL 2025
Video-guided Machine Translation: A Survey of Models, Datasets, and Challenges
IJCNLP 2025
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
ACL 2025
Extending LLMs to New Languages: A Case Study of Llama and Persian Adaptation
COLING 2025
Video-guided Machine Translation: A Survey of Models, Datasets, and Challenges
AACL 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
Presentation Matters: How to Communicate Science in the NLP Venues and in the Wild
ACL 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
NIPS 2024
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
ICLR 2024
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
ICLR 2024
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
EACL 2024
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs
ACL 2024
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
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
LAVA: Label-Efficient Visual Learning and Adaptation
WACV 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
An Additive Instance-Wise Approach to Multi-class Model Interpretation
ICLR 2023
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
Self-supervised Rewiring of Pre-trained Speech Encoders:Towards Faster Fine-tuning with Less Labels in Speech Processing
EMNLP 2022
RedApt: An Adaptor for wav2vec 2 EncodingFaster and Smaller Speech Translation without Quality Compromise
EMNLP 2022
Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?
EMNLP 2022
Pretrained Language Model in Continual Learning: A Comparative Study
ICLR 2022
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs
COLING 2022
Neural-Symbolic Commonsense Reasoner with Relation Predictors
IJCNLP 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
Learning to Explain: Generating Stable Explanations Fast
IJCNLP 2021
Multilingual Simultaneous Neural Machine Translation
IJCNLP 2021
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction
AAAI 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
Neural-Symbolic Commonsense Reasoner with Relation Predictors
ACL 2021
Learning to Explain: Generating Stable Explanations Fast
ACL 2021
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
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns
ACL 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
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages
COLING 2020
Caption Alignment for Low Resource Audio-Visual Data
INTERSPEECH 2020
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
IJCAI 2020
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
IJCAI 2020
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
ACL 2020
Decoding As Dynamic Programming For Recurrent Autoregressive Models
ICLR 2020
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning
EMNLP 2020
Learning How to Active Learn by Dreaming
ACL 2019
Selective Attention for Context-aware Neural Machine Translation
NAACL 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 Universityβs Submissions to the WNGT 2019 Document Translation Task
EMNLP 2019
Iterative Back-Translation for Neural Machine Translation
ACL 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
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
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations
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
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts
EACL 2017
Efficient Benchmarking of NLP APIs using Multi-armed Bandits
EACL 2017
Towards Decoding as Continuous Optimisation in Neural Machine Translation
EMNLP 2017
Preserving Distributional Information in Dialogue Act Classification
EMNLP 2017
A Generative Attentional Neural Network Model for Dialogue Act Classification
ACL 2017
Compressed Nonparametric Language Modelling
IJCAI 2017
Incorporating Structural Alignment Biases into an Attentional Neural Translation 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
Inter-document Contextual Language 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
The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis
ACL 2013
Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules
IJCNLP 2013
Graph Propagation for Paraphrasing Out-of-Vocabulary Words in Statistical Machine Translation
ACL 2013
An Infinite Hierarchical Bayesian Model of Phrasal Translation
ACL 2013
An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
ACL 2011
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
NIPS 2009
Active Learning for Multilingual Statistical Machine Translation
ACL 2009
Active Learning for Statistical Phrase-based Machine Translation
NAACL 2009
Active Learning for Multilingual Statistical Machine Translation
IJCNLP 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