conftrace_

Ishita Dasgupta

21 papers · 2021–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (48) πŸ‘₯ Mega-Team (23) πŸ‘‘ Triple Crown ⚑ Prolific Year (6) πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (99) πŸ’Ž Century Club (21) πŸ”₯ Unstoppable (5)

Conferences

NIPS (6) ICML (5) ICLR (3) EMNLP (2) NAACL (2) ACL (1) CVPR (1) ICCV (1)

Papers

VISIAR: Empower MLLM for Visual Story Ideation ACL 2025 ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs ICLR 2025 SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation ICCV 2025 A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models NAACL 2024 ReMI: A Dataset for Reasoning with Multiple Images NIPS 2024 HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances CVPR 2024 Plot Twist: Multimodal Models Don’t Comprehend Simple Chart Details EMNLP 2024 Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior ICLR 2024 How do Large Language Models Navigate Conflicts between Honesty and Helpfulness? ICML 2024 PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs ICML 2024 The Impact of Depth on Compositional Generalization in Transformer Language Models NAACL 2024 Distilling Internet-Scale Vision-Language Models into Embodied Agents ICML 2023 Passive learning of active causal strategies in agents and language models NIPS 2023 Distinguishing rule and exemplar-based generalization in learning systems ICML 2022 Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking NIPS 2022 Tell me why! Explanations support learning relational and causal structure ICML 2022 Can language models learn from explanations in context? EMNLP 2022 Learning to Navigate Wikipedia by Taking Random Walks NIPS 2022 Using natural language and program abstractions to instill human inductive biases in machines NIPS 2022 Passive attention in artificial neural networks predicts human visual selectivity NIPS 2021 Meta-Learning of Structured Task Distributions in Humans and Machines ICLR 2021