Soroush Vosoughi
101 papers · 2016–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🏃 Academic Marathon (9)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(14)
🏠
Conference Loyalist
(27)
🤝
Dynamic Duo
(35)
🏆
Grand Slam
🔬
Deep Specialist
(21)
🧬
Topic Evolution
🏆
Keyword Champion
(3)
❓
The Questioner
(5)
🗃️
Keyword Collector
(349)
🔥
Unstoppable
(6)
💎
Century Club
(95)
⚡
Prolific Year
(14)
Conferences
EMNLP (27)
ACL (23)
NAACL (16)
IJCNLP (8)
ICLR (7)
NIPS (5)
SEMEVAL (5)
AAAI (2)
EACL (2)
IJCAI (2)
AACL (1)
COLING (1)
ICCV (1)
ICML (1)
Top co-authors
Research topics
Keywords
text classification
(21)
large language model
(17)
reinforcement learning
(10)
language model
(10)
data augmentation
(7)
transformer model
(6)
transfer learning
(6)
social media analysis
(4)
low-resource language
(4)
bias detection
(4)
natural language understanding
(4)
multilingual model
(4)
representation learning
(4)
few-shot learning
(4)
sentiment analysis
(4)
position bia
(4)
multi-task learning
(3)
sequence labeling
(3)
multilingual nlp
(3)
natural language generation
(3)
Papers
Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts
EACL 2026
Representing Lean Proofs as Trajectories in Latent Space
ACL 2026
What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
ACL 2026
KinyaProp: Fine-Grained Propaganda Annotation in Kinyarwanda
ACL 2026
Behavior Knowledge Merge in Reinforced Agentic Models
ACL 2026
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
ACL 2026
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
NAACL 2025
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
AACL 2025
Growing Through Experience: Scaling Episodic Grounding in Language Models
ACL 2025
Serial Position Effects of Large Language Models
ACL 2025
Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification
ACL 2025
NüshuRescue: Reviving the Endangered Nüshu Language with AI
COLING 2025
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
EMNLP 2025
ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering
EMNLP 2025
Superficial Self-Improved Reasoners Benefit from Model Merging
EMNLP 2025
Recontextualizing Revitalization: A Mixed Media Approach to Reviving the Nüshu Language
EMNLP 2025
Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration
EMNLP 2025
Enhancing LLM-Based Persuasion Simulations with Cultural and Speaker-Specific Information
EMNLP 2025
Judging with Many Minds: Do More Perspectives Mean Less Prejudice? On Bias Amplification and Resistance in Multi-Agent Based LLM-as-Judge
EMNLP 2025
Knowing More, Acting Better: Hierarchical Representation for Embodied Decision-Making
EMNLP 2025
A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling
EMNLP 2025
Modeling Tactics as Operators: Effect-Grounded Representations for Lean Theorem Proving
EMNLP 2025
ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences
ICLR 2025
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
ICML 2025
DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis
IJCAI 2025
Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge
IJCNLP 2025
Communication Makes Perfect: Persuasion Dataset Construction via Multi-LLM Communication
NAACL 2025
Is It Navajo? Accurate Language Detection for Endangered Athabaskan Languages
NAACL 2025
Pretrained Image-Text Models are Secretly Video Captioners
NAACL 2025
What is it? Towards a Generalizable Native American Language Identification System
NAACL 2025
Bridging the Faithfulness Gap in Prototypical Models
NAACL 2025
Working Memory Identifies Reasoning Limits in Language Models
EMNLP 2024
Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts
EMNLP 2024
Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models’ Capability in Reproducing Academic Charts
EMNLP 2024
IvRA: A Framework to Enhance Attention-Based Explanations for Language Models with Interpretability-Driven Training
EMNLP 2024
Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models
NAACL 2024
Semantic-Preserving Adversarial Example Attack against BERT
NAACL 2024
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
NIPS 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
NIPS 2024
MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization
ACL 2024
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
ACL 2024
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations
ACL 2024
Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations
ACL 2024
Training Socially Aligned Language Models on Simulated Social Interactions
ICLR 2024
Aligning Relational Learning with Lipschitz Fairness
ICLR 2024
GEM: Generating Engaging Multimodal Content
IJCAI 2024
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse
EMNLP 2024
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
EMNLP 2024
Intersectional Stereotypes in Large Language Models: Dataset and Analysis
EMNLP 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation
ICLR 2023
Improving Representation Learning for Histopathologic Images with Cluster Constraints
ICCV 2023
Length Does Matter: Summary Length can Bias Summarization Metrics
EMNLP 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models
EMNLP 2023
Deciphering Stereotypes in Pre-Trained Language Models
EMNLP 2023
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
NIPS 2023
Language models are multilingual chain-of-thought reasoners
ICLR 2023
Improving Syntactic Probing Correctness and Robustness with Control Tasks
ACL 2023
Embedding Hallucination for Few-shot Language Fine-tuning
NAACL 2022
Aligning Generative Language Models with Human Values
NAACL 2022
Contrastive Learning for Prompt-based Few-shot Language Learners
NAACL 2022
DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation
NAACL 2022
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
NIPS 2022
EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English
ACL 2022
Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm
SEMEVAL 2022
DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation
SEMEVAL 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
NIPS 2022
Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm
NAACL 2022
Capturing Topic Framing via Masked Language Modeling
EMNLP 2022
Non-Parallel Text Style Transfer with Self-Parallel Supervision
ICLR 2022
Knowledge Infused Decoding
ICLR 2022
TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations
NAACL 2022
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
ACL 2021
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks
EMNLP 2021
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
AAAI 2021
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
SEMEVAL 2021
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
SEMEVAL 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
IJCNLP 2021
Language Model Augmented Relevance Score
IJCNLP 2021
A Survey of Data Augmentation Approaches for NLP
IJCNLP 2021
Modulating Language Models with Emotions
IJCNLP 2021
BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models
IJCNLP 2021
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
IJCNLP 2021
Improvements and Extensions on Metaphor Detection
IJCNLP 2021
Mitigating Political Bias in Language Models through Reinforced Calibration
AAAI 2021
Linguistic Complexity Loss in Text-Based Therapy
NAACL 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
NAACL 2021
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
ACL 2021
Language Model Augmented Relevance Score
ACL 2021
A Survey of Data Augmentation Approaches for NLP
ACL 2021
Modulating Language Models with Emotions
ACL 2021
Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic
ACL 2021
Improvements and Extensions on Metaphor Detection
ACL 2021
Text Augmentation in a Multi-Task View
EACL 2021
Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
EMNLP 2020
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
EMNLP 2020
What Are People Asking About COVID-19? A Question Classification Dataset
ACL 2020
Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
EMNLP 2020
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
EMNLP 2020
Multi-resolution Annotations for Emoji Prediction
EMNLP 2020
Twitter Demographic Classification Using Deep Multi-modal Multi-task Learning
ACL 2017
DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs
SEMEVAL 2016