PPaperPicks

Franck Dernoncourt

Adobe Research, Seattle, WA, USA

46 papers at tracked venues · 25 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Survey on LLM-based Conversational User Simulation
  2. Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge Streams
  3. Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
  4. Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact
  5. Knowledge Homophily in Large Language Models
  6. Lizard: An Efficient Linearization Framework for Large Language Models
  7. Octopus: Gated Selective Attention for Memory-Bounded Long-Context Inference in Large Language Models
  8. Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
  9. Structured Uncertainty guided Clarification for LLM Agents
  10. Test-Time Strategies for More Efficient and Accurate Agentic RAG
  11. Understanding Generative AI Capabilities in Everyday Image Editing Tasks
  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. CORG: Generating Answers from Complex, Interrelated Contexts
  16. ChartCitor: Answer Citations for ChartQA via Multi-Agent LLM Retrieval
  17. ChartLens: Fine-grained Visual Attribution in Charts
  18. Demystifying the Power of Large Language Models in Graph Generation
  19. Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents
  20. From Selection to Generation: A Survey of LLM-based Active Learning
  21. GUI Agents: A Survey
  22. LUSIFER: Language Universal Space Integration for Enhanced Representation in Multilingual Text Embedding Models
  23. LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles
  24. Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases
  25. MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections
  26. NoLiMa: Long-Context Evaluation Beyond Literal Matching
  27. Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions
  28. PlotEdit: Natural Language-Driven Accessible Chart Editing in PDFs via Multimodal LLM Agents
  29. PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Retrieval Feedback
  30. SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding
  31. Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
  32. SlimLM: An Efficient Small Language Model for On-Device Document Assistance
  33. The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers
  34. VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
  35. An Analysis of Multilingual FActScore
  36. DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding
  37. Editing Partially Observable Networks via Graph Diffusion Models
  38. Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
  39. MCECR: A Novel Dataset for Multilingual Cross-Document Event Coreference Resolution
  40. Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models
  41. Multilingual Meta-Distillation Alignment for Semantic Retrieval
  42. PDFTriage: Question Answering over Long, Structured Documents
  43. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 - Industry Track, Miami, Florida, USA, November 12-16, 2024
    EMNLP 2024 · Franck Dernoncourt
  44. Scaling Up Video Summarization Pretraining with Large Language Models
  45. Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
  46. ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning