| 6 |
Misaligned by Reward: Socially Undesirable Preferences in LLMs |
Gayane Ghazaryan, Esra Dönmez |
cs.CL, cs.AI, cs.CY |
| 6 |
Why Expert Alignment Is Hard: Evidence from Subjective Evaluation |
Tzu-Mi Lin, Wataru Hirota et al. |
cs.CL |
| 5 |
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning |
Alper Kamil Bozkurt, Xiaoan Xu et al. |
cs.LG, cs.AI |
| 5 |
Beyond Semantics: An Evidential Reasoning-Aware Multi-View Learning Framework for Trustworthy Mental Health Prediction |
Yucheng Ruan, Ling Huang et al. |
cs.CL |
| 5 |
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding |
Minjie Qiang, Mingming Zhang et al. |
cs.CL, cs.IR |
| 4 |
Geometry-Aware State Space Model: A New Paradigm for Whole-Slide Image Representation |
Enhui Chai, Sicheng Chen et al. |
cs.CV, cs.AI |
| 4 |
Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement |
Nicholas S. Kersting, Vittorio Castelli et al. |
cs.CL, cs.AI, cs.CY |
| 4 |
Low-Cost Black-Box Detection of LLM Hallucinations via Dynamical System Prediction |
Dan Wilson, Mohamed Akrout |
cs.LG, math.DS |
| 4 |
MRI-Eval: A Tiered Benchmark for Evaluating LLM Performance on MRI Physics and GE Scanner Operations Knowledge |
Perry E. Radau |
eess.IV, cs.CL, physics.med-ph |
| 4 |
The Pinocchio Dimension: Phenomenality of Experience as the Primary Axis of LLM Psychometric Differences |
Hubert Plisiecki, Sabina Siudaj et al. |
cs.CL |
| 4 |
UFAL-CUNI at SemEval-2026 Task 11: An Efficient Modular Neuro-symbolic Method for Syllogistic Reasoning |
Ivan Kartáč, Kristýna Onderková et al. |
cs.CL |
| 3 |
Human-AI Co-Mentorship in Project-Based Learning: A Case Study in Financial Forecasting |
Freyaa Chawla, Ahan Chawla et al. |
cs.LG, cs.CY |
| 3 |
Automatically Finding and Validating Unexpected Side-Effects of Interventions on Language Models |
Quintin Pope, Ajay Hayagreeve Balaji et al. |
cs.CL, cs.AI |
| 3 |
When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise |
Philip Wootaek Shin, Ajay Narayanan Sridhar et al. |
cs.CV, cs.CL |
| 2 |
The First Token Knows: Single-Decode Confidence for Hallucination Detection |
Mina Gabriel |
cs.CL, cs.AI |
| 2 |
Aes3D: Aesthetic Assessment in 3D Gaussian Splatting |
Chuanzhi Xu, Boyu Wei et al. |
cs.CV, cs.AI |
| 2 |
Superposition Is Not Necessary: A Mechanistic Interpretability Analysis of Transformer Representations for Time Series Forecasting |
Alper Yıldırım |
cs.LG, cs.AI |
| 2 |
Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation |
Olivia Jullian Parra, Sara Zoccheddu et al. |
cs.LG, cs.AI |
| 2 |
Transformed Latent Variable Multi-Output Gaussian Processes |
Xiaoyu Jiang, Xinxing Shi et al. |
cs.LG |
| 2 |
Conditional outlier detection for clinical alerting |
Milos Hauskrecht, Michal Valko et al. |
cs.LG, cs.CY |
| 2 |
Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior |
Daniel Wurgaft, Can Rager et al. |
cs.LG |
| 2 |
Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir |
Mullosharaf K. Arabov, Svetlana S. Khaybullina |
cs.CL |
| 1 |
When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning |
Lakshita Dodeja, Ondrej Biza et al. |
cs.RO, cs.AI |
| 1 |
PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation |
Srikar Kashyap Pulipaka |
cs.CL, cs.AI, cs.LG |
| 1 |
LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts |
Seungeun Rho, Shamel Fahmi et al. |
cs.RO, cs.AI |
| 1 |
Building informative materials datasets beyond targeted objectives |
Rafael Espinosa Castañeda, Ashley Dale et al. |
cond-mat.mtrl-sci, cs.AI, cs.DB, cs.LG, stat.AP |
| 1 |
Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval |
Nicholas Barnfield, Juno Kim et al. |
stat.ML, cs.IT, cs.LG |
| 1 |
Estimating the expected output of wide random MLPs more efficiently than sampling |
Wilson Wu, Victor Lecomte et al. |
cs.LG, cond-mat.dis-nn, stat.ML |
| 1 |
Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals |
Sahar Askari, Mohammad Mahdi Mirza Ali Mohammadi et al. |
cs.LG, eess.SP |
| 1 |
On the Hardness of Junking LLMs |
Marco Rando, Samuel Vaiter |
cs.LG |
| 1 |
Implicit Representations of Grammaticality in Language Models |
Yingshan Susan Wang, Linlu Qiu et al. |
cs.CL |
| 1 |
Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals |
Gijs van Dijk |
cs.CL |
| 1 |
Conceptors for Semantic Steering |
Ilias Triantafyllopoulos, Young-Min Cho et al. |
cs.LG, cs.CL |
| 0 |
Taming Outlier Tokens in Diffusion Transformers |
Xiaoyu Wu, Yifei Wang et al. |
cs.CV, cs.AI, cs.LG |
| 0 |
Grokability in five inequalities |
Paata Ivanisvili, Xinyuan Xie |
math.PR, cs.AI, math.AP, math.CA, math.FA |
| 0 |
Almost-Orthogonality in Lp Spaces: A Case Study with Grok |
Ziang Chen, Jaume de Dios Pont et al. |
math.CA, cs.AI, math.CO, math.PR |
| 0 |
What Matters in Practical Learned Image Compression |
Kedar Tatwawadi, Parisa Rahimzadeh et al. |
cs.CV, cs.AI, cs.LG |
| 0 |
On the Wasserstein Gradient Flow Interpretation of Drifting Models |
Arthur Gretton, Li Kevin Wenliang et al. |
cs.LG, cs.AI, stat.ML |
| 0 |
Continual Knowledge Updating in LLM Systems: Learning Through Multi-Timescale Memory Dynamics |
Andreas Pattichis, Constantine Dovrolis |
cs.LG, cs.AI, cs.CL |
| 0 |
Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer |
Alexander Hsu, Zhaiming Shen et al. |
cs.LG, math.NA |
| 0 |
How Long Does Infinite Width Last? Signal Propagation in Long-Range Linear Recurrences |
Mariia Seleznova |
cs.LG |
| 0 |
The Impossibility Triangle of Long-Context Modeling |
Yan Zhou |
cs.CL, cs.AI, cs.LG |
| 0 |
Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking |
Kyungwon Jeong, Won-Gi Paeng et al. |
cs.LG, cs.AI, cs.CL |