Christopher Pal

Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval EACL 2026 StarFlow: Generating Structured Workflow Outputs From Sketch Images EACL 2026 Beyond FVD: An Enhanced Evaluation Metrics for Video Generation Distribution Quality ICLR 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks ICLR 2025 CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling ICLR 2025 GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models NAACL 2025 InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation ICLR 2025 ParetoFlow: Guided Flows in Multi-Objective Optimization ICLR 2025 Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments CVPR 2025 Score-Based Diffusion Models in Function Space JMLR 2025 Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning ICLR 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text AAAI 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text CVPR 2025 UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction ICML 2025 WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation EMNLP 2025 CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning CoRL 2024 Learning Action and Reasoning-Centric Image Editing from Videos and Simulation NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NeurIPS 2024 Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models ICLR 2024 XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference EMNLP 2024 Towards Learning to Imitate from a Single Video Demonstration JMLR 2023 Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction ICLR 2022 Learning Multi-Objective Curricula for Robotic Policy Learning CoRL 2022 Learning to Guide and to be Guided in the Architect-Builder Problem ICLR 2022 Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data ICLR 2021 Predicting Infectiousness for Proactive Contact Tracing ICLR 2021 Reinforcement Learning with Random Delays ICLR 2021 Action-based Representation Learning for Autonomous Driving CoRL 2020 A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms ICLR 2020 AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation ICML 2020 Structure Learning for Neural Module Networks EMNLP 2019 Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018 Improving Landmark Localization With Semi-Supervised Learning CVPR 2018 A Dataset and Exploration of Models for Understanding Video Data Through Fill-In-The-Blank Question-Answering CVPR 2017 Unimodal Probability Distributions for Deep Ordinal Classification ICML 2017 Recombinator Networks: Learning Coarse-To-Fine Feature Aggregation CVPR 2016 Describing Videos by Exploiting Temporal Structure ICCV 2015 Cross Lingual Adaptation: An Experiment on Sentiment Classifications ACL 2010