7 papers
Gaussian Splatting for Real-Time Scene Reconstruction: Methods, Systems, and Trade-offs
Ashim Dahal, Rabab Abdelfattah, Nick Rahimi
3D Gaussian Splatting (3DGS) allows for high-quality real-time novel-view synthesis. Since its inception in 2023, its explicit and highly configurable scene representation has been…
Can LLMs Separate Pasted Artifacts from User Speech? Absorption at Unmarked Prompt Seams
Sugam Panthi, Muhaiminul Yeamin, Rabab Abdelfattah
Large language models (LLMs) receive each user message as plain text, even when it combines text from different sources. For example, a user may paste text into a prompt and keep t…
Memory Consolidation Flattens the Temporal Shape of User Facts
Sugam Panthi, Muhaiminul Yeamin, Siyan Luo +1
Long-term memory systems turn conversations into short stored notes. A note can keep a user fact while losing evidence about whether the fact still holds. For example, "I am drivin…
Outcome Monitors: Recovery Affordances for Silent Tool Failures
Sugam Panthi, Rabab Abdelfattah
When a tool call times out, the agent sees the failure and can route around it. A cached error page or negative price can instead arrive in the expected format and be consumed as f…
Same Ranking, Different Winner: How Scoring Targets Shape LLM Memory Benchmarks
Sugam Panthi, Rabab Abdelfattah
Conversational-memory systems increasingly transform dialogue history into facts, summaries, timelines, and other source-linked descendants, so a single source turn can coexist wit…
LLM-as-Judge for Semantic Judging of Powerline Segmentation in UAV Inspection
Akram Hossain, Rabab Abdelfattah, Xiaofeng Wang +1
The deployment of lightweight segmentation models on drones for autonomous power line inspection presents a critical challenge: maintaining reliable performance under real-world co…
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
Rabab Abdelfattah, Xin Zhang, Zhenyao Wu +3
Multi-label image classification aims to predict all possible labels in an image. It is usually formulated as a partial-label learning problem, given the fact that it could be expe…