← Authors

Aram Galstyan

88 papers · 2011–2025 · 20 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🌍 Conference Polyglot (20) πŸƒ Academic Marathon (14) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (9) πŸ† Keyword Champion πŸ‘₯ Mega-Team (23) 🌱 Topic Pioneer 🀝 Dynamic Duo (38) πŸ”¬ Deep Specialist (13) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ’Ž Century Club (88) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (13) πŸ—ƒοΈ Keyword Collector (358) ❓ The Questioner ⚑ Prolific Year (11)

Conferences

ACL (18) NAACL (13) EMNLP (13) NIPS (9) AISTATS (6) AAAI (5) ICML (5) IJCAI (3) UAI (2) EACL (2) IJCNLP (2) ICLR (2) WACV (1) INTERSPEECH (1) ICCV (1) CVPR (1) CONLL (1) COLING (1) CLEAR (1) ACML (1)

Top co-authors

Greg Ver Steeg (38) Ninareh Mehrabi (16) Kai-Wei Chang (15) Rahul Gupta (13) Anoop Kumar (11) Palash Goyal (9) Fred Morstatter (9) Nanyun Peng (7) Sarik Ghazarian (7) Shuyang Gao (7)

Research topics

Optimization (1)

Keywords

large language model (15) mutual information (10) unsupervised learning (8) information theory (6) representation learning (5) text generation (5) dialogue system (4) language model (4) open-domain dialogue (4) relation extraction (4) domain generalization (4) causal inference (3) data augmentation (3) evaluation metric (3) model compression (3) abstract meaning representation (3) variational inference (3) question answering (3) semi-supervised learning (3) bias mitigation (3)

Papers

Mamba Drafters for Speculative Decoding EMNLP 2025
Think Clearly: Improving Reasoning via Redundant Token Pruning EMNLP 2025
SeRA: Self-Reviewing and Alignment of LLMs using Implicit Reward Margins ICLR 2025
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation ACL 2025
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025
Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025
On Localizing and Deleting Toxic Memories in Large Language Models NAACL 2025
Accelerated Test-Time Scaling with Model-Free Speculative Sampling EMNLP 2025
The steerability of large language models toward data-driven personas NAACL 2024
FLIRT: Feedback Loop In-context Red Teaming EMNLP 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification EMNLP 2024
Leveraging LLMs for Dialogue Quality Measurement NAACL 2024
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies NAACL 2024
MICo: Preventative Detoxification of Large Language Models through Inhibition Control NAACL 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs ACL 2024
Contrastive Instruction Tuning ACL 2024
Policy Learning for Localized Interventions from Observational Data AISTATS 2024
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding CLEAR 2024
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain COLING 2024
Correcting Language Model Outputs by Editing Salient Layers EACL 2024
Prompt Perturbation Consistency Learning for Robust Language Models EACL 2024
BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024
Resolving Ambiguities in Text-to-Image Generative Models ACL 2023
Measuring and Mitigating Local Instability in Deep Neural Networks ACL 2023
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion ACL 2023
Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models ACL 2023
Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions AAAI 2023
Partial identification of dose responses with hidden confounders UAI 2023
Cognitively Inspired Learning of Incremental Drifting Concepts IJCAI 2023
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations EMNLP 2023
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding EMNLP 2023
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems ACL 2023
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation ACL 2023
Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs ACL 2023
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations EMNLP 2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations ACL 2022
StATIK: Structure and Text for Inductive Knowledge Graph Completion NAACL 2022
Failure Modes of Domain Generalization Algorithms CVPR 2022
Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling EMNLP 2022
Temporal Generalization for Spoken Language Understanding NAACL 2022
Attributing Fair Decisions with Attention Interventions NAACL 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal ACL 2022
Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022
Learning Under Label Noise for Robust Spoken Language Understanding systems INTERSPEECH 2022
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations ACL 2022
MUSCLE: Strengthening Semi-Supervised Learning via Concurrent Unsupervised Learning Using Mutual Information Maximization WACV 2021
Implicit SVD for Graph Representation Learning NIPS 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Exacerbating Algorithmic Bias through Fairness Attacks AAAI 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL 2021
Layer-Wise Neural Network Compression via Layer Fusion ACML 2021
Influence Decompositions For Neural Network Attribution AISTATS 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources EMNLP 2021
Partner-Assisted Learning for Few-Shot Image Classification ICCV 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning ICLR 2021
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data IJCNLP 2021
Plot-guided Adversarial Example Construction for Evaluating Open-domain Story Generation NAACL 2021
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation NAACL 2021
q-Paths: Generalizing the geometric annealing path using power means UAI 2021
Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems AAAI 2020
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach AAAI 2020
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference ICML 2020
Improving generalization by controlling label-noise information in neural network weights ICML 2020
Exact Rate-Distortion in Autoencoders via Echo Noise NIPS 2019
SAGE: A Hybrid Geopolitical Event Forecasting System IJCAI 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing ICML 2019
Auto-Encoding Total Correlation Explanation AISTATS 2019
BioRelEx 1.0: Biological Relation Extraction Benchmark ACL 2019
Kernelized Hashcode Representations for Relation Extraction AAAI 2019
Fast structure learning with modular regularization NIPS 2019
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction EMNLP 2019
Deep Structured Neural Network for Event Temporal Relation Extraction CONLL 2019
Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction IJCNLP 2019
Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings NAACL 2019
Invariant Representations without Adversarial Training NIPS 2018
Sifting Common Information from Many Variables IJCAI 2017
The Information Sieve ICML 2016
Modeling Concept Dependencies in a Scientific Corpus ACL 2016
Variational Information Maximization for Feature Selection NIPS 2016
Efficient Estimation of Mutual Information for Strongly Dependent Variables AISTATS 2015
Maximally Informative Hierarchical Representations of High-Dimensional Data AISTATS 2015
Demystifying Information-Theoretic Clustering ICML 2014
Discovering Structure in High-Dimensional Data Through Correlation Explanation NIPS 2014
Statistical Tests for Contagion in Observational Social Network Studies AISTATS 2013
Comparative Analysis of Viterbi Training and Maximum Likelihood Estimation for HMMs NIPS 2011