Tootfinder

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/14]:
- Equivalent Linear Mappings of Large Language Models
James R. Golden
https://

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Comparative Analysis of Large Language Models for the Machine-Assisted Resolution of User Intentions
Justus Flerlage, Alexander Acker, Odej Kao

Day 8 (a bit late): Timnit Gebru
Academic authors are authors too, and there are a bunch of people I deeply respect both in my fields and adjacent.
Gebru is someone I have huge respect for because she stood up for her (mild, completely reasonable) principles to the point of losing her job on Google's AI ethics team (since disbanded entirely), and then went ahead and founded an independent research institute to continue doing AI ethics research.
Why was she fired? Because she insisted on publishing her "Stochastic Parrots" paper after it passed Google internal review only to have extra nonstandard scrutiny applied at the last minute. Why did Google want to suppress her paper (which included an academic co-author)? Because it expressed valid criticisms of the large language models fad, and Google was planning to make money off that fad. Personally, I don't think I'd hire an "AI ethics" team only to then try to suppress their publications, and Google seems to now agree, having scrapped the team (during the initial furor, Timnit's boss also effectively quit to support her).
That "Stochastic Parrots" paper? Indeed, it predicts the core underlying problems with large language models that lead to so many of their user-side harms today. You can read it here: #20AuthorsNoMen

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/4]:
- PhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in B...
Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/7]:
- On Predictability of Reinforcement Learning Dynamics for Large Language Models
Cai, Cao, Xu, Yao, Huang, Tan, Zhang, Liu, Fang

Replaced article(s) found for stat.ML. https://arxiv.org/list/stat.ML/new
[1/2]:
- Training-Free Bayesianization for Low-Rank Adapters of Large Language Models
Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- A Preliminary Study on the Robustness of Code Generation by Large Language Models
Zike Li, Mingwei Liu, Anji Li, Kaifeng He, Yanlin Wang, Xin Peng, Zibin Zheng

Replaced article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Dayong Ye, Wanlei Zhou, Philip S. Yu

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[8/9]:
- MindVL: Towards Efficient and Effective Training of Multimodal Large Language Models on Ascend NPUs
Feilong Chen, Yijiang Liu, Yi Huang, Hao Wang, Miren Tian, Ya-Qi Yu, Minghui Liao, Jihao Wu

Replaced article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patc...
Pucheng Dang, Di Huang, Dong Li, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
Chih-Kai Yang, Neo S. Ho, Hung-yi Lee

Replaced article(s) found for physics.optics. https://arxiv.org/list/physics.optics/new
[1/1]:
- LLM4Laser: Large Language Models Automate the Design of Lasers
Renjie Li, Ceyao Zhang, Sixuan Mao, Xiyuan Zhou, Feng Yin, Sergios Theodoridis, Zhaoyu Zhang
https://arxiv.org/abs/2104.12145
- Room-temperature valley-selective emission in Si-MoSe2 heterostructures enabled by high-quality-f...
Feng Pan, et al.
https://arxiv.org/abs/2409.09806 https://mastoxiv.page/@arXiv_physicsoptics_bot/113152185040115763
- 1T'-MoTe$_2$ as an integrated saturable absorber for photonic machine learning
Maria Carolina Volpato, Henrique G. Rosa, Tom Reep, Pierre-Louis de Assis, Newton Cesario Frateschi
https://arxiv.org/abs/2507.16140 https://mastoxiv.page/@arXiv_physicsoptics_bot/114901571498004090
- NeOTF: Guidestar-free neural representation for broadband dynamic imaging through scattering
Yunong Sun, Fei Xia
https://arxiv.org/abs/2507.22328 https://mastoxiv.page/@arXiv_physicsoptics_bot/114947052118796753
- Structured Random Models for Phase Retrieval with Optical Diffusers
Zhiyuan Hu, Fakhriyya Mammadova, Juli\'an Tachella, Michael Unser, Jonathan Dong
https://arxiv.org/abs/2510.14490 https://mastoxiv.page/@arXiv_physicsoptics_bot/115388901264416806
- Memory Effects in Time-Modulated Radiative Heat Transfer
Riccardo Messina, Philippe Ben-Abdallah
https://arxiv.org/abs/2510.19378 https://mastoxiv.page/@arXiv_physicsoptics_bot/115422659227231796
- Mie-tronics supermodes and symmetry breaking in nonlocal metasurfaces
Thanh Xuan Hoang, Ayan Nussupbekov, Jie Ji, Daniel Leykam, Jaime Gomez Rivas, Yuri Kivshar
https://arxiv.org/abs/2511.03560 https://mastoxiv.page/@arXiv_physicsoptics_bot/115502066008543828
- Integrated soliton microcombs beyond the turnkey limit
Wang, Xu, Wang, Zhu, Luo, Luo, Wang, Ni, Yang, Gong, Xiao, Li, Yang
https://arxiv.org/abs/2511.06909 https://mastoxiv.page/@arXiv_physicsoptics_bot/115530791701071777
- Ising accelerator with a reconfigurable interferometric photonic processor
Rausell-Campo, Al Kayed, P\'erez-L\'ppez, Aadhi, Shastri, Francoy
https://arxiv.org/abs/2511.13284 https://mastoxiv.page/@arXiv_physicsoptics_bot/115570439939074488
- Superradiance in dense atomic samples
I. M. de Ara\'ujo, H. Sanchez, L. F. Alves da Silva, M. H. Y. Moussa
https://arxiv.org/abs/2504.20242 https://mastoxiv.page/@arXiv_quantph_bot/114425762810828336
- Fluctuation-induced Hall-like lateral forces in a chiral-gain environment
Daigo Oue, M\'ario G. Silveirinha
https://arxiv.org/abs/2507.14754 https://mastoxiv.page/@arXiv_condmatmeshall_bot/114896308178114535
- Tensor-network approach to quantum optical state evolution beyond the Fock basis
Nikolay Kapridov, Egor Tiunov, Dmitry Chermoshentsev
https://arxiv.org/abs/2511.15295 https://mastoxiv.page/@arXiv_quantph_bot/115581390666689204
- OmniLens : Blind Lens Aberration Correction via Large LensLib Pre-Training and Latent PSF Repres...
Jiang, Qian, Gao, Sun, Yang, Yi, Li, Yang, Van Gool, Wang
https://arxiv.org/abs/2511.17126 https://mastoxiv.page/@arXiv_eessIV_bot/115603729319581340
toXiv_bot_toot

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencode...
Jiaqi Weng, Han Zheng, Hanyu Zhang, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang

Replaced article(s) found for q-bio.PE. https://arxiv.org/list/q-bio.PE/new
[1/1]:
- PhyloLM : Inferring the Phylogeny of Large Language Models and Predicting their Performances in B...
Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[1/9]:
- A critical review of methods and challenges in large language models
Milad Moradi, Ke Yan, David Colwell, Matthias Samwald, Rhona Asgari

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[9/12]:
- Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA...
Shetty, Upadhayaya, Shah, Jagabathula, Nayak, Fee

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/5]:
- The threat of analytic flexibility in using large language models to simulate human data: A call ...
Jamie Cummins