Ryan A. Rossi

A Survey on LLM-based Conversational User Simulation EACL 2026 CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing ACL 2026 Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models EACL 2026 Lizard: An Efficient Linearization Framework for Large Language Models ACL 2026 Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models ACL 2026 SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control CVPR 2026 Test-Time Strategies for More Efficient and Accurate Agentic RAG ACL 2026 VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use AAAI 2026 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 A Large-scale Training Paradigm for Graph Generative Models ICLR 2025 Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion EMNLP 2025 Causal Discovery-Driven Change Point Detection in Time Series AISTATS 2025 ChartEval: LLM-Driven Chart Generation Evaluation Using Scene Graph Parsing IJCNLP 2025 ChartLens: Fine-grained Visual Attribution in Charts ACL 2025 Demystifying the Power of Large Language Models in Graph Generation NAACL 2025 Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey EMNLP 2025 Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering NAACL 2025 Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025 Document Attribution: Examining Citation Relationships using Large Language Models ACL 2025 Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents EMNLP 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 Fully Dynamic Embedding into ℓ_p Spaces ICML 2025 GUI Agents: A Survey ACL 2025 Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025 LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles EMNLP 2025 Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent EMNLP 2025 Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases ACL 2025 NoLiMa: Long-Context Evaluation Beyond Literal Matching ICML 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents NAACL 2025 SAND: Boosting LLM Agents with Self-Taught Action Deliberation EMNLP 2025 Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes NAACL 2025 SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding ICLR 2025 Towards Optimal Multi-draft Speculative Decoding ICLR 2025 Understanding Writing Assistants for Scientific Figure Captions: A Thematic Analysis NAACL 2025 VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation NAACL 2025 Continuous Treatment Effects with Surrogate Outcomes ICML 2024 CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages COLING 2024 Editing Partially Observable Networks via Graph Diffusion Models ICML 2024 Forward Learning of Graph Neural Networks ICLR 2024 Knowledge Graph Prompting for Multi-Document Question Answering AAAI 2024 On Mechanistic Knowledge Localization in Text-to-Image Generative Models ICML 2024 PDFTriage: Question Answering over Long, Structured Documents EMNLP 2024 Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024 Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs EMNLP 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 Asymptotics of Ridge Regression in Convolutional Models ICML 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 Graph Neural Networks with Heterophily AAAI 2021 Machine Unlearning via Algorithmic Stability COLT 2021 Ensemble Learning for Relational Data JMLR 2020