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AI & Data Science Preprint PDF DOI

Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing Task

Jungmin Choi, Keisuke Sakaguchi, Hiroaki Yamada ยท 2026

Large language models (LLMs) have shown strong performance on legal benchmarks, including multiple-choice components of bar exams. However, their capacity for generating open-ended legal reasoning in โ€ฆ

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AI & Data Science Preprint PDF DOI

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models

Michael Keeman ยท 2026

Mechanistic interpretability research on emotion in large language models -- linear probing, activation patching, sparse autoencoder (SAE) feature analysis, causal ablation, steering vector extractionโ€ฆ

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AI & Data Science Preprint PDF DOI

Agri-CPJ: A Training-Free Explainable Framework for Agricultural Pest Diagnosis Using Caption-Prompt-Judge and LLM-as-a-Judge

Wentao Zhang, Qi Zhang, Mingkun Xu, Mu You, Henghua Shen, Zhongzhi He, Keyan Jin, Derek F. Wong, Tao Fang ยท 2026

Crop disease diagnosis from field photographs faces two recurring problems: models that score well on benchmarks frequently hallucinate species names, and when predictions are correct, the reasoning bโ€ฆ

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Computer Science Preprint PDF DOI

Directional Alignment and Narrative Agency in Human-LLM Co-Writing

Halfdan Nordahl Fundal, Yuri Bizzoni ยท 2026

We investigate narrative agency in human-LLM creative co-writing, asking who drives story development in turn-based collaboration. Using a new corpus of 87 human-LLM co-written stories, we apply sentiโ€ฆ

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Physics Preprint PDF DOI

Physics informed operator learning of parameter dependent spectra

Haohao Gu, Sensen He, Hanlin Song, Bo Liang, Zhenwei Lyu, Xiaoguang Hu, Minghui Du, Peng Xu, Bo-Qiang Ma ยท 2026

Spectral problems governed by differential operators underpin a wide range of physical systems, yet remain computationally challenging because their spectra depend sensitively on continuous parametersโ€ฆ

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Computer Science Preprint PDF DOI

TimingLLM: A Two-Stage Retrieval-Augmented Framework for Pre-Synthesis Timing Prediction from Verilog

Armin Abdollahi, Negin Ashrafi, Mehdi Kamal, Massoud Pedram ยท 2026

Early, tool-free prediction of post-synthesis timing remains a key obstacle to rapid RTL iteration. We introduce TimingLLM, a two-stage retrieval-augmented LLM pipeline that estimates worst negative sโ€ฆ

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AI & Data Science Preprint PDF DOI

Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling

Zhen Ye, Xu Tan, Aoxiong Yin, Hongzhan Lin, Guangyan Zhang, Peiwen Sun, Yiming Li, Chi-Min Chan, Wei Ye, Shikun Zhang, Wei Xue ยท 2026

Joint audio-video generation models have shown that unified generation yields stronger cross-modal coherence than cascaded approaches. However, existing models couple modalities throughout denoising vโ€ฆ

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Computer Science Preprint PDF DOI

Analysis of Personal Data Exposure in Thailand

Suphannee Sivakorn, Sasawat Malaivongs, Nuttaya Rujiratanapat ยท 2026

In the digital era, personal data, particularly sensitive identifiers such as the Social Security Number and National Identification Number, have become a highly valuable asset, raising significant coโ€ฆ

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Computer Science Preprint PDF DOI

Grammar-Constrained Refinement of Safety Operational Rules Using Language in the Loop: What Could Go Wrong

Khouloud Gaaloul, Zaid Ghazal, Madhu Latha Pulimi, Sam Emmanuel Kathiravan ยท 2026

Safety specifications in cyber-physical systems (CPS) capture the operational conditions the system must satisfy to operate safely within its intended environment. As operating environments evolve, opโ€ฆ

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Physics Preprint PDF DOI

Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b}\bar{\mathrm{b}}\,\tau^{+}\tau^{-}$ final state in proton-proton collisions at $\sqrt{s}=13~\text{TeV}$ with the CMS detector

Ganesh Parida (on behalf of the CMS collaboration) ยท 2026

A search is presented for massive narrow-width resonances in the mass range of $1\text{-}4.5\,\text{TeV}$ decaying into pairs of Higgs bosons (HH), using proton-proton collision data at a center-of-maโ€ฆ

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AI & Data Science Preprint PDF DOI

Do Synthetic Trajectories Reflect Real Reward Hacking? A Systematic Study on Monitoring In-the-Wild Hacking in Code Generation

Lichen Li, Hengguang Zhou, Yijun Liang, Tianyi Zhou, Cho-Jui Hsieh ยท 2026

Reward hacking in code generation, where models exploit evaluation loopholes to obtain full reward without correctly solving the tasks, poses a critical challenge for Reinforcement Learning (RL) and tโ€ฆ

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AI & Data Science Preprint PDF DOI

Supernodes and Halos: Loss-Critical Hubs in LLM Feed-Forward Layers

Audrey Cherilyn, Houman Safaai ยท 2026

We study the organization of channel-level importance in transformer feed-forward networks (FFNs). Using a Fisher-style loss proxy (LP) based on activation-gradient second moments, we show that loss sโ€ฆ

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Physics Preprint PDF DOI

Possible Evidence for Neutral Color-Singlet $q\bar q$ Quark Matter from High-Energy Pb-Emulsion Collisions

Cheuk-Yin Wong ยท 2026

The invariant mass spectrum of $e^+e^-$ pairs produced in high-energy Pb-emulsion collisions at 160 A GeV at CERN SPS exhibits a complex structure of many resonances resting on top of a broad enhancemโ€ฆ

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AI & Data Science Preprint PDF DOI

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Divakar Kumar Yadav, Tian Zhao, Deepak Kumar ยท 2026

NVIDIA's CUDA Tile (CuTile) introduces a Python-based, tile-centric abstraction for GPU kernel development that aims to simplify programming while retaining Tensor Core and Tensor Memory Accelerator (โ€ฆ

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Computer Science Preprint PDF DOI

A more versatile model for enumerative kernelization: a case study for Vertex Cover

Marin Bougeret, Guilherme C. M. Gomes, Ignasi Sau ยท 2026

Enumerative kernelization is a recent promising at the intersection of parameterized complexity and enumeration algorithms, with two proposed models. The first, known as enum-kernels and due to Creignโ€ฆ

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Mathematics Preprint PDF DOI

Conway--Maxwell multivariate Bernoulli distribution

Helene Cossette, Etienne Marceau, Alessandro Mutti, Patrizia Semeraro ยท 2026

We investigate the Conway--Maxwell multivariate Bernoulli distributions, a family of multivariate Bernoulli distributions derived from the Conway--Maxwell-binomial distribution. We show that it is posโ€ฆ

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AI & Data Science Preprint PDF DOI

EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs

He Hu, Tengjin Weng, Zebang Cheng, Yu Wang, Jiachen Luo, Bjorn Schuller, Zheng Lian, Laizhong Cui ยท 2026

Recent multimodal large language models (MLLMs) have shown strong capabilities in perception, reasoning, and generation, and are increasingly used in applications such as social robots and human-compuโ€ฆ

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AI & Data Science Preprint PDF DOI

KAConvNet: Kolmogorov-Arnold Convolutional Networks for Vision Recognition

Zhaoxiang Liu, Zhicheng Ma, Kaikai Zhao, Kai Wang, Shiguo Lian ยท 2026

The Convolutional Neural Networks (CNNs) have been the dominant and effective approach for general computer vision tasks. Recently, Kolmogorov-Arnold neural networks (KANs), based on the Kolmogorov-Arโ€ฆ

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Physics Preprint PDF DOI

Introducing the Correlation Concentration Ratio (CCR): Quantitative Framework for Comparing Quantum Cluster States

Amin Ahadi, Saman Sarshar ยท 2026

In this paper, numerical simulations of four-mode continuous-variable cluster states with different topologies in the framework of measurement-based quantum computation are presented. By utilizing theโ€ฆ

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AI & Data Science Preprint PDF DOI

Discovering Agentic Safety Specifications from 1-Bit Danger Signals

Victor Gallego ยท 2026

Can large language model agents discover hidden safety objectives through experience alone? We introduce EPO-Safe (Experiential Prompt Optimization for Safe Agents), a framework where an LLM iterativeโ€ฆ

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