13 citations · 14 across the 10 of their papers we have counts for
10 papers
Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
Zikui Cai, Kaushal Janga, Tan Dat Dao +15
Embodied question answering (EQA) is traditionally evaluated under an episodic formulation, where agents solve each task independently and reset internal state between episodes. Ho…
LADBench: A Benchmark for Logical Fault Detection in Images
Sahasra Kondapalli, Lara Radovanovic, Aadi Palnitkar +2
Large Vision Language Models (VLMs) excel at visual question answering and semantic grounding, but their capacity for autonomous logical reasoning remains underexplored. Existing a…
AUDITA: A New Dataset to Audit Humans vs. AI Skill at Audio QA
Tasnim Kabir, Dmytro Kurdydyk, Aadi Palnitkar +3
Existing audio question answering benchmarks largely emphasize sound event classification or caption-grounded queries, often enabling models to succeed through shortcut strategies,…
Mil-SCORE: Benchmarking Long-Context Geospatial Reasoning and Planning in Large Language Models
Aadi Palnitkar, Mingyang Mao, Nicholas Waytowich +2
As large language models (LLMs) are applied to increasingly longer and more complex tasks, there is a growing need for realistic long-context benchmarks that require selective read…
Hold Onto That Thought: Assessing KV Cache Compression On Reasoning
Minghui Liu, Aadi Palnitkar, Tahseen Rabbani +9
Large language models (LLMs) have demonstrated remarkable performance on long-context tasks, but are often bottlenecked by memory constraints. Namely, the KV cache, which is used t…
EREBUS: End-to-end Robust Event Based Underwater Simulation
Hitesh Kyatham, Arjun Suresh, Aadi Palnitkar +1
The underwater domain presents a vast array of challenges for roboticists and computer vision researchers alike, such as poor lighting conditions and high dynamic range scenes. In…
Safer in Translation? Presupposition Robustness in Indic Languages
Aadi Palnitkar, Arjun Suresh, Rishi Rajesh +1
Increasingly, more and more people are turning to large language models (LLMs) for healthcare advice and consultation, making it important to gauge the efficacy and accuracy of the…
Quantum Machine Learning for State Tomography Using Classical Data
Shabnam Jabeen, Dmytro Kurdydyk, Aadi Palnitkar +3
Reconstructing quantum states from measurement data represents a formidable challenge in quantum information science, especially as system sizes grow beyond the reach of traditiona…
ODYSSEE: Oyster Detection Yielded by Sensor Systems on Edge Electronics
Xiaomin Lin, Vivek Mange, Arjun Suresh +11
Oysters are a vital keystone species in coastal ecosystems, providing significant economic, environmental, and cultural benefits. As the importance of oysters grows, so does the re…
ChatSim: Underwater Simulation with Natural Language Prompting
Aadi Palnitkar, Rashmi Kapu, Xiaomin Lin +3
Robots are becoming an essential part of many operations including marine exploration or environmental monitoring. However, the underwater environment presents many challenges, inc…