Expertini Research Research

Browse Research Papers

4,186+ open-access research outputs.

โœ• Clear
๐Ÿ” edith hemaspaandra
Showing 4186 results for "edith hemaspaandra"
AI & Data Science Preprint PDF DOI

Hyper-Dimensional Fingerprints as Molecular Representations

Jonas Teufel, Luca Torresi, Andre Eberhard, Pascal Friederich ยท 2026

Computational molecular representations underpin virtual screening, property prediction, and materials discovery. Conventional fingerprints are efficient and deterministic but lose structural informatโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen ยท 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and presentโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering

Davide Di Nucci, Riccardo Catalini, Guido Borghi, Roberto Vezzani ยท 2026

Recent advances in 3D reconstruction and neural rendering,particularly 3D Gaussian Splatting, make it feasible and simple to edit 3D scenes and re-render them as highly realistic images. Therefore, seโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

lpviz: Interactive Linear Programming Visualization

Evan Grand, Michael Klamkin ยท 2026

This paper presents lpviz, a browser-based visualization tool for linear programming. lpviz is deeply interactive, offering an intuitive interface where users can directly draw and edit the feasible rโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Leveraging Verifier-Based Reinforcement Learning in Image Editing

Hanzhong Guo, Jie Wu, Jie Liu, Yu Gao, Zilyu Ye, Linxiao Yuan, Xionghui Wang, Yizhou Yu, Weilin Huang ยท 2026

While Reinforcement Learning from Human Feedback (RLHF) has become a pivotal paradigm for text-to-image generation, its application to image editing remains largely unexplored. A key bottleneck is theโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Debiasing Reward Models via Causally Motivated Inference-Time Intervention

Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida ยท 2026

Reward models (RMs) play a central role in aligning large language models (LLMs) with human preferences. However, RMs are often sensitive to spurious features such as response length. Existing inferenโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

To Diff or Not to Diff? Structure-Aware and Adaptive Output Formats for Efficient LLM-based Code Editing

Wei Cheng, Yongchang Cao, Chen Shen, Binhua Li, Jue Chen, Yongbin Li, Wei Hu ยท 2026

Large Language Models (LLMs) are increasingly used for code editing, yet the prevalent full-code generation paradigm suffers from severe efficiency bottlenecks, posing challenges for interactive codinโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Few-Shot Accent Synthesis for ASR with LLM-Guided Phoneme Editing

Yurii Halychanskyi, Nimet Beyza Bozdag, Mark Hasegawa-Johnson, Dilek Hakkani-Tur, Volodymyr Kindratenko ยท 2026

Accented automatic speech recognition (ASR) often degrades due to the limited availability of accented training data. Prior work has explored accent modeling in low-resource settings, but existing appโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

ProcFunc: Function-Oriented Abstractions for Procedural 3D Generation in Python

Alexander Raistrick, Karhan Kayan, Jack Nugent, David Yan, Lingjie Mei, Meenal Parakh, Hongyu Wen, Dylan Li, Yiming Zuo, Erich Liang, Jia Deng ยท 2026

We introduce ProcFunc, a library for Blender-based procedural 3D generation in Python. ProcFunc provides a library of easy-to-use Python functions, which streamline creating, combining, analyzing, andโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

Changhyun Roh, Yonghyun Jeong, Jonghyun Lee, Chanho Eom, Jihyong Oh ยท 2026

Synthesizing a target concept from a single reference image is challenging in diffusion-based personalized text-to-image generation, particularly for sticker personalization where prompts often requirโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

When Model Editing Meets Service Evolution: A Knowledge-Update Perspective for Service Recommendation

Guodong Fan, Cuiyun Gao, Chun Yong Chong, Lu Zhang, Jing Li, Jinglin Zhang, Shizhan Chen ยท 2026

The rapid evolution of software services poses substantial challenges to the design and implementation of effective recommendation systems. Traditional service recommendation approaches often rely on โ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent

Yikai Zhang, Jiaxin Pei, Kenan Li, Maoquan Wang, Jin Pan, Yu Kang, Shengyu Fu, Elsie Nallipogu, Junjie Hu, Yufan Huang, Zijian Jin ยท 2026

Large language model agents have achieved remarkable progress on software engineering tasks, yet current approaches suffer from a fundamental context coupling problem: the standard code editing interfโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Monitoring Neural Training with Topology: A Footprint-Predictable Collapse Index

Alexander Kalinowski ยท 2026

Representational collapse, where embeddings become anisotropic and lose multi-scale structure, can erode downstream performance long before performance metrics react. We propose an online, topology-awโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

Jiahang Lin, Shichun Liu, Chengjun Pan, Lizhi Lin, Shihan Dou, Xuanjing Huang, Hang Yan, Zhenhua Han, Tao Gui ยท 2026

Harnesses are now central to coding-agent performance, mediating how models interact with tools and execution environments. Yet harness engineering remains a manual craft, because automating it faces โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

MAIC-UI: Making Interactive Courseware with Generative UI

Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu ยท 2026

Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers for educators. While generative AI can produce HTML codes, existing tools generate static prโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Can Code Evaluation Metrics Detect Code Plagiarism?

Fahad Ebrahim, Mike Joy (The University of Warwick) ยท 2026

Source Code Plagiarism Detection (SCPD) plays an important role in maintaining fairness and academic integrity in software engineering education. Code Evaluation Metrics (CEMs) are developed for assesโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?

Noam Tarshish, Nofar Selouk, Daniel Hodisan, Bar Ezra Gafniel, Yuval Elovici, Asaf Shabtai, Eliya Nachmani ยท 2026

Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmark, 39 of 40 evaluated models obtain a task success rate (TSR) below 60 percent, highlightiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Clustering Permutations under the Ulam Metric: A Parameterized Complexity Study

Tian Bai, Fedor V. Fomin, Petr A. Golovach, Yash Hiren More, Simon Wietheger ยท 2026

Rank aggregation seeks a representative permutation for a collection of rankings and plays a central role in areas such as social choice, information retrieval, and computational biology. Two fundamenโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

DDA-Thinker: Decoupled Dual-Atomic Reinforcement Learning for Reasoning-Driven Image Editing

Hanqing Yang, Qiang Zhou, Yongchao Du, Sashuai Zhou, Zhibin Wang, Jun Song, Tiezheng Ge, Cheng Yu, Bo Zheng ยท 2026

Recent image editing models have achieved strong visual fidelity but often struggle with tasks requiring complex reasoning. To investigate and enhance the reasoning-grounded planning for image editingโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

ResetEdit: Precise Text-guided Editing of Generated Image via Resettable Starting Latent

Hanyi Wang, Han Fang, Zheng Wang, Shilin Wang, Ee-Chien Chang ยท 2026

Recent advances in diffusion models have enabled high-quality image generation, leading to increasing demand for post-generation editing that modifies local regions while preserving global structure. โ€ฆ

Read Paper โ†’
Page 1 of 210 Next โ†’