Tootfinder

Grindr board members Ray Zage and James Lu, part of an investor group that owns more than 60%, offer to take Grindr private for ~$3.46B; GRND closes up 18.63% (Reuters)
https://www.reuters.com/business/grindr-shareholders-offer-take-dating-app-p…

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
Mocheng Li, Xiao Yan, Baotong Lu, Yue Zhang, James Cheng, Chenhao Ma
https://arxiv.org/abs/2508.16263

Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
With the growing integration of structured and unstructured data, new methods have emerged for performing similarity searches on vectors while honoring structured attribute constraints, i.e., a process known as Filtering Approximate Nearest Neighbor (Filtering ANN) search. Since many of these algorithms have only appeared in recent years and are designed to work with a variety of base indexing methods and filtering strategies, there is a pressing need for a unified analysis that identifies thei…

The 6 year radio lightcurve of the tidal disruption event AT2019azh
Matthew Burn, Adelle J. Goodwin, Gemma E. Anderson, James C. A. Miller-Jones, Yvette Cendes, Collin T. Christy, Wenbin Lu, Sjoert van Velzen
https://arxiv.org/abs/2509.17525

The 6 year radio lightcurve of the tidal disruption event AT2019azh
Analysis of radio emission from tidal disruption events allows for detailed constraints on the properties of ejected outflows and the host environment surrounding the black hole. However, the late-time radio behaviour of tidal disruption events is not well-studied due to a lack of observations. In this work we present long-term radio monitoring observations of the tidal disruption event AT2019azh spanning 1167-2159 days post disruption. We fit a physically motivated synchrotron model to the rad…

Piezomagnetism-driven magnetoelectric coupling in altermagnetic multiferroic K3Cr2F7
Ying Zhou, Hui-Min Zhang, Cheng-Ao Ji, Hongjun Xiang, Shuai Dong, James M. Rondinelli, Xue-Zeng Lu
https://arxiv.org/abs/2508.13952

Piezomagnetism-driven magnetoelectric coupling in altermagnetic multiferroic K3Cr2F7
Ferroelectric control of altermagnetism in momentum space has been studied widely, while the control of magnetism in real space of altermagnets are still rare. We present a design rule to identify multiferroicity in n=2 Ruddlesden-Popper halides. Our results show that a Jahn-Teller distortion can cooperate with oxygen octahedral rotations to break inversion symmetry, which we demonstrate in K3Cr2F7 and cation-ordered KAg2Cu2Cl7, and leads to a ferrielectric-to-ferroelectric phase transition in …

PET Head Motion Estimation Using Supervised Deep Learning with Attention
Zhuotong Cai, Tianyi Zeng, Jiazhen Zhang, El\'eonore V. Lieffrig, Kathryn Fontaine, Chenyu You, Enette Mae Revilla, James S. Duncan, Jingmin Xin, Yihuan Lu, John A. Onofrey
https://arxiv.org/abs/2510.12758

PET Head Motion Estimation Using Supervised Deep Learning with Attention
Head movement poses a significant challenge in brain positron emission tomography (PET) imaging, resulting in image artifacts and tracer uptake quantification inaccuracies. Effective head motion estimation and correction are crucial for precise quantitative image analysis and accurate diagnosis of neurological disorders. Hardware-based motion tracking (HMT) has limited applicability in real-world clinical practice. To overcome this limitation, we propose a deep-learning head motion correction a…

Sources: Raymond Zage and James Lu, who control most of Grindr, are in talks to take it private after a Temasek unit sold shares pledged for personal loans (Liz Hoffman/Semafor)
https://www.semafor.com/article/10/13/2025/grindr-explor…

Grindr explores take-private after lender calls insiders’ loans
Dating app’s controlling shareholders are discussing buyout financing with Fortress Investment Group for a deal that would likely have national-security implications, people familiar with the matter said.

TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Jiaru Zou, Soumya Roy, Vinay Kumar Verma, Ziyi Wang, David Wipf, Pan Lu, Sumit Negi, James Zou, Jingrui He
https://arxiv.org/abs/2510.06217

TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Process Reward Models (PRMs) have recently emerged as a powerful framework for enhancing the reasoning capabilities of large reasoning models (LRMs), particularly in the context of test-time scaling (TTS). However, their potential for supervising LRMs on tabular reasoning domains remains underexplored. Through detailed empirical analyses, we identify that existing PRMs, though widely adopted for supervising text-only reasoning steps, struggle with table-specific operations such as sub-table ret…

JWST Observations of SN 2024ggi II: NIRSpec Spectroscopy and CO Modeling at 285 and 385 Days Past the Explosion
T. Mera, C. Ashall, P. Hoeflich, K. Medler, M. Shahbandeh, C. R. Burns, E. Baron, J. M. DerKacy, E. Fereidouni, C. M. Pfeffer, S. Shiber, P. J. Brown, A. Burrow, D. . A. Coulter, M. Engesser, L. Ferrari, G. Folatelli, O. Fox, L. Galbany, M. Guolo, J. T. Hinkle, W. B. Hoogendam, E. Y. Hsiao, M E. Huber, T. de Jaeger, D. O. Jones, S. Kumar, J. Lu, P. A. Mazzali, N. Morrell, M. …

JWST Observations of SN 2024ggi II: NIRSpec Spectroscopy and CO Modeling at 285 and 385 Days Past the Explosion
We present James Webb Space Telescope (JWST) NIRSpec 1.7--5.5 micron observations of SN~2024ggi at +285.51 and +385.27 days post-explosion. The late-time nebular spectra are dominated by emission lines from various ionization states of H, Ca, Ar, C, Mg, Ni, Co, and Fe. We also detect strong CO emission in both the first overtone and fundamental vibrational bands. Most atomic features exhibit asymmetric line profiles, indicating an aspherical explosion. Using observed fluxes combined with non-LT…

LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
Benjamin Shiue-Hal Chou, Purvish Jajal, Nick John Eliopoulos, James C. Davis, George K. Thiruvathukal, Kristen Yeon-Ji Yun, Yung-Hsiang Lu
https://arxiv.org/abs/2510.08580

LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
Music learners can greatly benefit from tools that accurately detect errors in their practice. Existing approaches typically compare audio recordings to music scores using heuristics or learnable models. This paper introduces \textit{LadderSym}, a novel Transformer-based method for music error detection. \textit{LadderSym} is guided by two key observations about the state-of-the-art approaches: (1) late fusion limits inter-stream alignment and cross-modality comparison capability; and (2) relia…

Ultrahigh-Q chalcogenide micro-racetrack resonators
Bright Lu, James W. Erikson, Bo Xu, Sinica Guo, Mo Zohrabi, Juliet T. Gopinath, Wounjhang Park
https://arxiv.org/abs/2510.07688

Ultrahigh-Q chalcogenide micro-racetrack resonators
High-quality factor microresonators are an attractive platform for the study of nonlinear photonics, with diverse applications in communications, sensing, and quantum metrology. The characterization of loss mechanisms and nonlinear properties in a microresonator is a necessity for the development of photonic integrated circuits. Here, we demonstrate a high-quality chalcogenide ($Ge_{23}Sb_{7}S_{70}$) micro-racetrack resonator utilizing Euler curves. The racetrack geometry is studied to minimize…

Use of LLMs in preparing accessible scientific papers
Allison Doami, Christine James, Dan Lu, Lia Prins, Annette Torrence, Boris Veytsman
https://arxiv.org/abs/2508.00826 https:…

Use of LLMs in preparing accessible scientific papers
Making scientific papers accessible may require reprocessing old papers to create output compliant with accessibility standards. An important step there is to convert the visual formatting to the logical one. In this report we describe our attempt at zero shot conversion of arXiv papers. Our results are mixed: while it is possible to do conversion, the reliability is not too good. We discuss alternative approaches to this problem.

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu
https://arxiv.org/abs/2510.05592

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Outcome-driven reinforcement learning has advanced reasoning in large language models (LLMs), but prevailing tool-augmented approaches train a single, monolithic policy that interleaves thoughts and tool calls under full context; this scales poorly with long horizons and diverse tools and generalizes weakly to new scenarios. Agentic systems offer a promising alternative by decomposing work across specialized modules, yet most remain training-free or rely on offline training decoupled from the l…

Role of Fe intercalation on the electronic correlation in resistively switchable antiferromagnet Fe$_{x}$NbS$_2$
Wenxin Li, Jonathan T. Reichanadter, Shan Wu, Ji Seop Oh, Rourav Basak, Shannon C. Haley, Elio Vescovo, Donghui Lu, Makoto Hashimoto, Christoph Klewe, Suchismita Sarker, James G. Analytis, Robert J. Birgeneau, Jeffrey B. Neaton, Yu He
https://…

Role of Fe intercalation on the electronic correlation in resistively switchable antiferromagnet Fe$_{x}$NbS$_2$
Among the family of intercalated transition-metal dichalcogenides (TMDs), Fe$_{x}$NbS$_2$ is found to possess unique current-induced resistive switching behaviors, tunable antiferromagnetic states, and a commensurate charge order, all of which are tied to a critical Fe doping of $x_c$ = 1/3. However, the electronic origin of such extreme stoichiometry sensitivities remains unclear. Combining angle-resolved photoemission spectroscopy (ARPES) with density functional theory (DFT) calculations, we …

Disentangling the Effects of Simultaneous Environmental Variables on Perovskite Synthesis and Device Performance via Interpretable Machine Learning
Tianran Liu, Nicky Evans, Kangyu Ji, Ronaldo Lee, Aaron Zhu, Vinn Nguyen, James Serdy, Elizabeth Wall, Yongli Lu, Florian A. Formica, Moungi G. Bawendi, Quinn C. Burlingame, Yueh-Lin Loo, Vladimir Bulovic, Tonio Buonassisi

Disentangling the Effects of Simultaneous Environmental Variables on Perovskite Synthesis and Device Performance via Interpretable Machine Learning
Despite the rapid rise in perovskite solar cell efficiency, poor reproducibility remains a major barrier to commercialization. Film crystallization and device performance are highly sensitive to environmental factors during fabrication, yet their complex interactions are not well understood. In this work, we present a systematic framework to investigate the influence of both individual and coupled environmental variables on device efficiency and crystallization kinetics. We developed an integra…

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Xingyu Fu, Siyi Liu, Yinuo Xu, Pan Lu, Guangqiuse Hu, Tianbo Yang, Taran Anantasagar, Christopher Shen, Yikai Mao, Yuanzhe Liu, Keyush Shah, Chung Un Lee, Yejin Choi, James Zou, Dan Roth, Chris Callison-Burch
https://arxiv.org/abs/2509.22646

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Can humans identify AI-generated (fake) videos and provide grounded reasons? While video generation models have advanced rapidly, a critical dimension -- whether humans can detect deepfake traces within a generated video, i.e., spatiotemporal grounded visual artifacts that reveal a video as machine generated -- has been largely overlooked. We introduce DeeptraceReward, the first fine-grained, spatially- and temporally- aware benchmark that annotates human-perceived fake traces for video generat…