Skip to content
TILens What matters today in tech v0.3.2
Theme

Topic - Edition

AI Research

544 items on 07 Sep 2026
AI Research AI

Reflection-aware Generative Novel View Synthesis

arXiv:2609.05382v1 Announce Type: cross Abstract: We propose Ref-GeNVS, a training-free, reflection-aware method for generative novel view synthesis (NVS) in mirror scenes. Existing multi-view diffusion models often…

Source: arXiv cs.AI GeonU Kim, Shin Dong-Yeon, Tae-Hyun Oh
AI Research AI

A Survey on Semantic Modeling for Building Energy Management

arXiv:2404.11716v4 Announce Type: replace Abstract: Building Energy Management (BEM) is central to reducing energy use and CO2 emissions in the building sector. Although IoT technologies now provide extensive…

Source: arXiv cs.AI Miracle Aniakor, Vinicius V. Cogo, Pedro M. Ferreira
AI Research AI

Leveraging Imperfect Restoration for Data Availability Attack

arXiv:2609.04627v1 Announce Type: new Abstract: The abundance of online data is at risk of unauthorized usage in training deep learning models. To counter this, various Data Availability Attacks (DAAs) have been devised…

Source: arXiv cs.AI Yi Huang, Jeremy Styborski, Mingzhi Lyu, Fan Wang, Adams Kong
AI Research AI

Necessary or Sufficient? Evaluating LLM Explanations With Behavioural Evidence

arXiv:2609.05385v1 Announce Type: new Abstract: LLM decision components that can operate within agent workflows often produce action-relevant recommendations or judgements together with explanations. Operators may use…

Source: arXiv cs.AI Urja Pawar, Rajitha Ramanayake, Nabeel Kemal, Ashwin Kandath, Owen O'Neill, Guillaume Bourgeon, Houssem Chatbri
AI Research AI

Towards a universal language of concepts: A survey

arXiv:2609.04528v1 Announce Type: new Abstract: Humans can learn and generalize novel concepts from sparse data because they express knowledge in rich structural formats. In this paper, we propose that programs are a…

Source: arXiv cs.AI Aishni Parab
AI Research AI

IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion

arXiv:2609.04559v1 Announce Type: new Abstract: Accurate city-level IP Geolocation is an important enabler for the modern digital ecosystem, underpinning services ranging from local content delivery and targeting to…

Source: arXiv cs.AI Avinash Kadimisetty, Andy Jinqing Yu, Philip Favaloro, Wenlong Liu, Xiaolu Xiong
AI Research AI

Scalable Context Orchestration for Serving LLMs Over Voice

arXiv:2609.04288v1 Announce Type: cross Abstract: Voice AI applications are gaining popularity as advances in large language models (LLMs) enable more natural and accessible spoken interactions. Serving these…

Source: arXiv cs.AI Linyi Jiang, Silvery D. Fu, Yifei Zhu
AI Research AI

Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM

arXiv:2609.04738v1 Announce Type: new Abstract: In this paper, we study the problem of personalized survey response prediction using fine-tuned large language models (LLMs). This task poses unique challenges: limited…

Source: arXiv cs.AI Xinyu Li, Ruoming Jin, Jianfeng Zhu, Ruixin Guo, Zhi Liu
AI Research AI

Xiaomi-TabLDM: A Tabular Foundation Model Technical Report

arXiv:2609.03880v2 Announce Type: replace Abstract: We introduce Xiaomi-TabLDM, a tabular large data foundation model for classification and regression via in-context learning, which delivers superior prediction…

Source: arXiv cs.AI TabLDM Team, Penghui Wang, Wei Liu, Hong Wang, Chengyue Huang, Yuxi Sun, Zirui Wang, Hongming Huang, Quan Wang, Zhenwei Xin, Ping Hou, Jie Yu, Chunxiao Liu, Erli Meng, Bin Wang
AI Research AI

Uncensored Open-weight Models: Redistribution as the Persistence Layer

arXiv:2609.05241v1 Announce Type: new Abstract: A rapidly expanding ecosystem of actors is removing built-in safety guardrails from open-weight AI models. We profile this ecosystem by identifying key producers,…

Source: arXiv cs.AI 10a Labs, :, Juliette Garcia, Hailey May, Bobby McKenzie, David Pham, Matthew Swain, Joshua Valdez, Corie Wieland, Zachary Yahn
AI Research AI

PerfReasoning: How Well Do LLMs Reason on Hardware Performance?

arXiv:2609.04476v1 Announce Type: new Abstract: Performance modeling is central to hardware design and software optimization, yet constructing these models requires structured reasoning about computation, data reuse,…

Source: arXiv cs.AI Dan Zhao, Karthikeyan Sankaralingam, Christos Kozyrakis, Qijing Huang

544 items available