PPaperPicks

Ryan A. Rossi

Adobe Research, San Jose, CA, USA

70 papers at tracked venues · 43 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Survey on LLM-based Conversational User Simulation
  2. CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing
  3. Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models
  4. Knowledge Homophily in Large Language Models
  5. Lizard: An Efficient Linearization Framework for Large Language Models
  6. Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
  7. Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models
  8. Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs)
  9. Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration
  10. Structured Uncertainty guided Clarification for LLM Agents
  11. Test-Time Strategies for More Efficient and Accurate Agentic RAG
  12. VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use
  13. A Large-scale Training Paradigm for Graph Generative Models
  14. A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
  15. AD-LLM: Benchmarking Large Language Models for Anomaly Detection
  16. Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion
  17. Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens
  18. Causal Discovery-Driven Change Point Detection in Time Series
  19. ChartCitor: Answer Citations for ChartQA via Multi-Agent LLM Retrieval
  20. ChartLens: Fine-grained Visual Attribution in Charts
  21. Demystifying the Power of Large Language Models in Graph Generation
  22. Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
  23. Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering
  24. Doc-React: Multi-page Heterogeneous Document Question-answering
  25. DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering
  26. Few-Shot Graph Out-of-Distribution Detection with LLMs
  27. Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents
  28. From Selection to Generation: A Survey of LLM-based Active Learning
  29. Fully Dynamic Embedding into ℓp Spaces
  30. GUI Agents: A Survey
  31. Gaze2Prompt: Turning Eye-Tracking Data into Visual Prompts for Multimodal LLMs
  32. Interactive Visualization Recommendation with Hier-SUCB
  33. Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval
  34. LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding Models
  35. LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
  36. Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
  37. Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
  38. NoLiMa: Long-Context Evaluation Beyond Literal Matching
  39. Numerical Pruning for Efficient Autoregressive Models
  40. Offline RL by Reward-Weighted Fine-Tuning for Conversation Optimization
  41. Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents
  42. Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions
  43. PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents
  44. PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Retrieval Feedback
  45. Probabilistic Hypergraph Recurrent Neural Networks for Time-series Forecasting
  46. SAND: Boosting LLM Agents with Self-Taught Action Deliberation
  47. SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
  48. Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
  49. Towards Optimal Multi-draft Speculative Decoding
  50. VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
  51. "The Data Says Otherwise" - Towards Automated Fact-checking and Communication of Data Claims
  52. Continuous Treatment Effects with Surrogate Outcomes
  53. Data Quality-aware Graph Machine Learning
  54. DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
  55. Editing Partially Observable Networks via Graph Diffusion Models
  56. Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization
  57. Forward Learning of Graph Neural Networks
  58. Hallucination Diversity-Aware Active Learning for Text Summarization
  59. Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
  60. Knowledge Graph Prompting for Multi-Document Question Answering
  61. On Mechanistic Knowledge Localization in Text-to-Image Generative Models
  62. PDFTriage: Question Answering over Long, Structured Documents
  63. Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning
  64. SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings
  65. Tackling Long-Tail Entities for Temporal Knowledge Graph Completion
  66. Thinking Outside the Box: Non-Designer Perspectives and Recommendations for Template-Based Graphic Design Tools
  67. ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
  68. Topology-aware Retrieval Augmentation for Text Generation
  69. Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
  70. Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits