Tootfinder

Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework
Yucheng Wang, Ziyang Chen, Md Faisal Kabir
https://arxiv.org/abs/2509.21241 https://

Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework
The widespread adoption of Low-Rank Adaptation (LoRA) has enabled large language models (LLMs) to acquire domain-specific knowledge with remarkable efficiency. However, understanding how such a fine-tuning mechanism alters a model's structural reasoning and semantic behavior remains an open challenge. This work introduces a novel framework that explains fine-tuned LLMs via counterfactuals grounded in knowledge graphs. Specifically, we construct BioToolKG, a domain-specific heterogeneous knowled…

Topological nontrivial berry phase in altermagnet CrSb
Jianhua Du, Xin Peng, Yuzhi Wang, Shengnan Zhang, Yuran Sun, Chunxiang Wu, Tingyu Zhou, Le Liu, Hangdong Wang, Jinhu Yang, Bin Chen, Chuanying Xi, Zhiwei Jiao, Quansheng Wu, Minghu Fang
https://arxiv.org/abs/2509.21303

Topological nontrivial berry phase in altermagnet CrSb
The study of topological properties in magnetic materials has long been one of the forefront research areas in condensed matter physics. CrSb, as a prototypical candidate material for altermagnetism, has attracted significant attention due to its unique magnetic properties. This system provides a novel platform for exploring the intrinsic relationship between altermagnetic order and exotic topological states. In this study, we combine systematic electrical transport experiments with first-princ…

Alternative statistical inference for the first normalized incomplete moment
Jiannan Lu, Peng Ding, Anqi Zhao
https://arxiv.org/abs/2508.17145 https://arxi…

Alternative statistical inference for the first normalized incomplete moment
This paper re-examines the first normalized incomplete moment, a well-established measure of inequality with wide applications in economic and social sciences. Despite the popularity of the measure itself, existing statistical inference appears to lag behind the needs of modern-age analytics. To fill this gap, we propose an alternative solution that is intuitive, computationally efficient, mathematically equivalent to the existing solutions for "standard" cases, and easily adaptable to "non-sta…

Evaluation-Aware Reinforcement Learning
Shripad Vilasrao Deshmukh, Will Schwarzer, Scott Niekum
https://arxiv.org/abs/2509.19464 https://arxiv.org/pdf/2509…

Evaluation-Aware Reinforcement Learning
Policy evaluation is often a prerequisite for deploying safety- and performance-critical systems. Existing evaluation approaches frequently suffer from high variance due to limited data and long-horizon tasks, or high bias due to unequal support or inaccurate environmental models. We posit that these challenges arise, in part, from the standard reinforcement learning (RL) paradigm of policy learning without explicit consideration of evaluation. As an alternative, we propose evaluation-aware rei…

Role of cosmic voids and their matter properties in shaping wormhole geometry in generalized geometry-matter coupling gravity
A. Errehymy, S. Hansraj
https://arxiv.org/abs/2508.17492

Role of cosmic voids and their matter properties in shaping wormhole geometry in generalized geometry-matter coupling gravity
Cosmic voids are increasingly recognized as a promising tool for cosmological exploration. Their distribution and density profiles are highly responsive to alterations in gravitational theories, along with the influences of dark energy and neutrinos. Investigating voids offers a compelling opportunity to uncover signatures of alternative gravity models on a cosmological level. Voids span a notable range of density contrasts, from approximately -$1$ near their centers to around $0$ at their edge…

New Gist: No Contest
"There are, perhaps, alternative worlds where lots of things are different. Fianna Fšil maybe decide to run an MEP instead of a MIA. Or one where a fleet of no-hopers got nominated and we spent the whole campaign having to listen to the media asking candidates their opinions on the Latin mass and if cocaine bloat is a positive feature in a President. "
Also, I explain exactly what kind of idiot I have recently been.

Cross-Modal Instructions for Robot Motion Generation
William Barron, Xiaoxiang Dong, Matthew Johnson-Roberson, Weiming Zhi
https://arxiv.org/abs/2509.21107 https://

Cross-Modal Instructions for Robot Motion Generation
Teaching robots novel behaviors typically requires motion demonstrations via teleoperation or kinaesthetic teaching, that is, physically guiding the robot. While recent work has explored using human sketches to specify desired behaviors, data collection remains cumbersome, and demonstration datasets are difficult to scale. In this paper, we introduce an alternative paradigm, Learning from Cross-Modal Instructions, where robots are shaped by demonstrations in the form of rough annotations, which…

Vision-Intelligence-Enabled Beam Tracking for Cross-Interface Water-Air Optical Wireless Communications
Tianqi Mao, Jiayue Liu, Weijie Liu, Dezhi Zheng, Zhaocheng Wang
https://arxiv.org/abs/2509.21290 …

Vision-Intelligence-Enabled Beam Tracking for Cross-Interface Water-Air Optical Wireless Communications
The escalating development of oceanic applications like underwater surveillance and mineral exploration, is motivating real-time wireless backhaul of the considerable observation data. Such prospects can be hardly realized by the narrowband acoustic approach. Alternatively, optical wireless communication (OWC) has emerged as a promising solution for maritime and underwater applications due to its great potential for broadband underwater transmission. However, the implementations of water-air OW…

A new finding demonstrates the brutal carbon math of AI video: a 6-second clip can burn 4x the energy of a 3-second one. I’ve updated the What Uses More digital footprint calculator to show why “just a bit longer” gets disproportionately expensive.
https://www.

Dark Degeneracy in DESI DR2: Interacting or Evolving Dark Energy?
Vitor Petri, Valerio Marra, Rodrigo von Marttens
https://arxiv.org/abs/2508.17955 https://

Dark Degeneracy in DESI DR2: Interacting or Evolving Dark Energy?
The standard $Λ$CDM model, despite its success, is challenged by persistent observational tensions in the Hubble constant ($H_0$) and the matter clustering amplitude ($S_8$), motivating the exploration of alternative cosmological scenarios. We investigate a dark energy model with a phenomenological interaction in the dark sector, constructed to be exactly degenerate at the background level with the Chevallier-Polarski-Linder (CPL) parameterization. This setup allows us to test whether models w…