Soroush Vosoughi

96 papers · 2016–2026 · 14 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (10) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🧭 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 (18) 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

Weicheng Ma (35) Ruibo Liu (17) Lili Wang (15) Jason Wei (14) Saeed Hassanpour (12) Chongyang Gao (12) Chunhui Zhang (12) Xingjian Diao (8) Ivory Yang (8) Yiren Jian (8)

Research topics

Applications (1)

Keywords

text classification (21) large language model (15) language model (10) reinforcement learning (9) data augmentation (7) transformer model (6) transfer learning (6) representation learning (4) social media analysis (4) bias detection (4) sentiment analysis (4) natural language understanding (4) position bia (4) few-shot learning (4) natural language generation (3) multi-task learning (3) multilingual nlp (3) sequence labeling (3) llm evaluation (3) model compression (3)

Papers

Tailoring Memory Granularity for Multi-Hop Reasoning over Long Contexts EACL 2026

Enhancing LLM-Based Persuasion Simulations with Cultural and Speaker-Specific Information EMNLP 2025

Scalable and Culturally Specific Stereotype Dataset Construction via Human-LLM Collaboration EMNLP 2025

Recontextualizing Revitalization: A Mixed Media Approach to Reviving the Nüshu Language EMNLP 2025

Superficial Self-Improved Reasoners Benefit from Model Merging EMNLP 2025

ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering EMNLP 2025

SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models EMNLP 2025

Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge AACL 2025

Pretrained Image-Text Models are Secretly Video Captioners NAACL 2025

Is It Navajo? Accurate Language Detection for Endangered Athabaskan Languages NAACL 2025

Communication Makes Perfect: Persuasion Dataset Construction via Multi-LLM Communication NAACL 2025

Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-Judge IJCNLP 2025

DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis IJCAI 2025

Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner ICML 2025

ImpScore: A Learnable Metric For Quantifying The Implicitness Level of Sentences ICLR 2025

Modeling Tactics as Operators: Effect-Grounded Representations for Lean Theorem Proving EMNLP 2025

A Generalizable Rhetorical Strategy Annotation Model Using LLM-based Debate Simulation and Labelling EMNLP 2025

Knowing More, Acting Better: Hierarchical Representation for Embodied Decision-Making 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

Bridging the Faithfulness Gap in Prototypical Models NAACL 2025

Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding NAACL 2025

What is it? Towards a Generalizable Native American Language Identification System NAACL 2025

Growing Through Experience: Scaling Episodic Grounding in Language Models ACL 2025

Serial Position Effects of Large Language Models ACL 2025

NüshuRescue: Reviving the Endangered Nüshu Language with AI COLING 2025

Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification ACL 2025

Semantic-Preserving Adversarial Example Attack against BERT NAACL 2024

Interpretable Image Classification with Adaptive Prototype-based Vision Transformers NIPS 2024

Achieving Domain-Independent Certified Robustness via Knowledge Continuity NIPS 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

MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization ACL 2024

The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse EMNLP 2024

Working Memory Identifies Reasoning Limits in Language Models EMNLP 2024

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality 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

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

Addressing Healthcare-related Racial and LGBTQ+ Biases in Pretrained Language Models NAACL 2024

Length Does Matter: Summary Length can Bias Summarization Metrics EMNLP 2023

Improving Representation Learning for Histopathologic Images with Cluster Constraints ICCV 2023

Intersectional Stereotypes in Large Language Models: Dataset and Analysis EMNLP 2023

Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models EMNLP 2023

Language models are multilingual chain-of-thought reasoners ICLR 2023

Deciphering Stereotypes in Pre-Trained Language Models EMNLP 2023

Bootstrapping Vision-Language Learning with Decoupled Language Pre-training NIPS 2023

Mind's Eye: Grounded Language Model Reasoning through Simulation ICLR 2023

Improving Syntactic Probing Correctness and Robustness with Control Tasks ACL 2023

DartmouthCS at SemEval-2022 Task 8: Predicting Multilingual News Article Similarity with Meta-Information and Translation NAACL 2022

Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings NIPS 2022

Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits NIPS 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

Embedding Hallucination for Few-shot Language Fine-tuning NAACL 2022

Non-Parallel Text Style Transfer with Self-Parallel Supervision ICLR 2022

Knowledge Infused Decoding ICLR 2022

Capturing Topic Framing via Masked Language Modeling EMNLP 2022

TWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations NAACL 2022

EnCBP: A New Benchmark Dataset for Finer-Grained Cultural Background Prediction in English ACL 2022

Contrastive Learning for Prompt-based Few-shot Language Learners NAACL 2022

Aligning Generative Language Models with Human Values NAACL 2022

Dartmouth at SemEval-2022 Task 6: Detection of Sarcasm NAACL 2022

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning NAACL 2021

BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models SEMEVAL 2021

Text Augmentation in a Multi-Task View EACL 2021

Improvements and Extensions on Metaphor Detection ACL 2021

Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic ACL 2021

Lone Pine at SemEval-2021 Task 5: Fine-Grained Detection of Hate Speech Using BERToxic SEMEVAL 2021

BigGreen at SemEval-2021 Task 1: Lexical Complexity Prediction with Assembly Models ACL 2021

Modulating Language Models with Emotions ACL 2021

A Survey of Data Augmentation Approaches for NLP ACL 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

Language Model Augmented Relevance Score ACL 2021

Linguistic Complexity Loss in Text-Based Therapy NAACL 2021

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021

GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks EMNLP 2021

Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021

Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path AAAI 2021

Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT EMNLP 2020

Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation EMNLP 2020

An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data EMNLP 2020

Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification EMNLP 2020

Multi-resolution Annotations for Emoji Prediction EMNLP 2020

What Are People Asking About COVID-19? A Question Classification Dataset ACL 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