Ryan A. Rossi

51 papers · 2020–2026 · 13 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (5) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (11) 🤝 Dynamic Duo (19) 👥 Mega-Team (34) 🧬 Topic Evolution 🏆 Keyword Champion ⚡ Prolific Year (28) 🔥 Unstoppable (6) 🗃️ Keyword Collector (201) 💎 Century Club (47)

Conferences

ICML (9) EMNLP (8) ACL (7) ICLR (7) NAACL (7) AAAI (4) EACL (2) JMLR (2) AACL (1) AISTATS (1) COLING (1) COLT (1) IJCNLP (1)

Top co-authors

Franck Dernoncourt (21) Tong Yu (21) Sungchul Kim (18) Nedim Lipka (15) Ruiyi Zhang (10) Yu Wang (8) Namyong Park (8) Nesreen K. Ahmed (8) Puneet Mathur (8) Xiang Chen (7)

Research topics

Keywords

large language model (11) multimodal learning (5) question answering (4) document question answering (3) retrieval-augmented generation (3) graph traversal (2) retrieval augmented generation (2) scene graph parsing (2) zero-shot learning (2) stochastic gradient descent (2) hallucination mitigation (2) context retrieval (2) knowledge graph (2) chart generation (2) visual similarity (2) prompt engineering (2) vision-language model (2) document understanding (2) multimodal document (2) online learning (1)

Papers

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use AAAI 2026

Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models EACL 2026

A Survey on LLM-based Conversational User Simulation EACL 2026

ChartLens: Fine-grained Visual Attribution in Charts ACL 2025

Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases ACL 2025

GUI Agents: A Survey ACL 2025

Document Attribution: Examining Citation Relationships using Large Language Models ACL 2025

Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025

ChartEval: LLM-Driven Chart Generation Evaluation Using Scene Graph Parsing AACL 2025

Numerical Pruning for Efficient Autoregressive Models AAAI 2025

From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025

SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey EMNLP 2025

Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents EMNLP 2025

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles EMNLP 2025

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025

Towards Optimal Multi-draft Speculative Decoding ICLR 2025

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding ICLR 2025

A Large-scale Training Paradigm for Graph Generative Models ICLR 2025

Fully Dynamic Embedding into $\ell_p$ Spaces ICML 2025

NoLiMa: Long-Context Evaluation Beyond Literal Matching ICML 2025

ChartEval: LLM-Driven Chart Generation Evaluation Using Scene Graph Parsing IJCNLP 2025

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering NAACL 2025

Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025

VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation NAACL 2025

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025

Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents NAACL 2025

Demystifying the Power of Large Language Models in Graph Generation NAACL 2025

Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis NAACL 2025

Forward Learning of Graph Neural Networks ICLR 2024

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024

Editing Partially Observable Networks via Graph Diffusion Models ICML 2024

Continuous Treatment Effects with Surrogate Outcomes ICML 2024

Knowledge Graph Prompting for Multi-Document Question Answering AAAI 2024

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs EMNLP 2024

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages COLING 2024

PDFTriage: Question Answering over Long, Structured Documents EMNLP 2024

On Mechanistic Knowledge Localization in Text-to-Image Generative Models ICML 2024

A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs ICLR 2023

MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning ICLR 2023

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes ICML 2022

Machine Unlearning via Algorithmic Stability COLT 2021

Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021

Asymptotics of Ridge Regression in Convolutional Models ICML 2021

Graph Neural Networks with Heterophily AAAI 2021

Ensemble Learning for Relational Data JMLR 2020