Domain Adaptation

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Domain Adaptation

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Distribution Shifts

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Domain Shift

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Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical Cosmology
May 28, 2026Francesco De BernardisLarge Language Model Adaptation Domain Adaptation
When Do Graph Foundation Models Transfer? A Data-Centric Theory
May 28, 2026Jiajun Zhu, Ying Chen, Peihao Wang +4Graph Foundation Model Cross-Domain Shifts
How to Relieve Distribution Shifts in Semantic Segmentation for Off-Road Environments
May 28, 2026Ji-Hoon Hwang, Daeyoung Kim, Hyung-Suk Yoon +2Distribution Shifts Environment
DefSynUS: Real-time Patient-specific Intrahepatic Vessel Identification via Deformation-Aware CT-US Domain Adaptation
May 28, 2026Karl-Philippe Beaudet, Yordanka Velikova, Sidaty El Hadramy +4Ultrasound Retinal Vessel Segmentation
On the Optimizer Dependence of Neural Scaling Laws
May 28, 2026Vansh Ramani, Shourya Vir JainScaling Laws Large Models
EarthShift: a benchmark for measuring robustness to real-world distribution shifts in Earth observation
May 28, 2026Kelsey Doerksen, Hannah KernerGeospatial Foundation Models Distribution Shifts
Do Physics Foundation Models Learn Generalizable Physics? A Bias-Aware Benchmark Across Physical Regimes and Distribution Shifts
May 28, 2026Mengdi Chu, Yang Liu, Ayan Biswas +1Distribution Shifts Spatio-Temporal Forecasting
Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision
May 27, 2026Yuyue Zhou, Shrimanti Ghosh, Michael +7Ultrasound Cross-Domain Generalization
Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm
May 27, 2026Feng Qiu, Zheng Fang, Shuhang Zhang +4High-Fidelity Radio Map Construction Trajectory-Aware Differential Aggregation
Riding the Shifting Potential: When Reactive Control Suffices for Multi-Goal Behavior
May 26, 2026Vito Mengers, Oliver BrockObstacle Avoidance Reactive
Causal Representation Learning for Generalisable Recommendation
May 26, 2026Yorgos Felekis, Michael O'Riordan, Oriol Corcoll +1Causal Representation Learning Recommendation
Receipt Replay OOD: A Small Benchmark for Screen Replay Detection Under Domain Shift
May 26, 2026Alexander VinogradovRe-Identification Out-Of-Domain Generalization
Architecture-driven Shift: towards a lightweight selector for capturing the trends of logit shift
May 26, 2026Zhong Ye, Yu Hu, Ruilin TangLogit Lens Domain Shift
From Static Context to Calibrated Interactive RL: Mitigating Distribution Shift in Multi-turn Dialogue with Aligned Simulator
May 26, 2026Xiaohua Wang, Jiakang Yuan, Zisu Huang +5Dialogue Simulation-Based Reinforcement Learning
When In-Distribution Gains Fail: Evaluating Weak-to-Strong Reward Models under Preference Shift
May 25, 2026Khoi Le, Tri Cao, Phong Nguyen +5Preference Learning Weak Supervision
Accelerated Dynamic Importance Weighting with Versatile Divergence-Minimizing Estimators
May 25, 2026Tongtong Fang, Nan Lu, Gang Niu +2Bregman Divergences Distribution Shifts
How to Mitigate the Distribution Shift Problem in Robotics Control: A Robust and Adaptive Approach Based on Offline to Online Imitation Learning
May 25, 2026Hyung-Suk Yoon, Seung-Woo SeoImitation Learning Distribution Shifts
Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology
May 24, 2026Ben Vardi, Dana Schonberger, Yuval Friedmann +4Pathology Foundation Models Computational Pathology
Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation
May 24, 2026Xi Ding, Lei Wang, Syuan-Hao Li +1Domain Adaptation Mismatch
DA-UCT: Self-Supervised Domain-Adaptive Ultrasound Computed Tomography for Rapid Musculoskeletal Sound Speed Reconstruction
May 24, 2026Tianyu Liu, Heyu Ma, Aiduo Wang +6Ultrasound Tomography
Do Image-Text Metrics Respect Semantic Invariances?
May 23, 2026Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu +9Video-Text Alignment Evaluation Metrics
HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
May 23, 2026Shubham Gupta, Nikhil Panwar, Partha Pratim RoyElectrocardiogram Classification Congenital Heart Disease
Robust OT-Guided Generative Residual Domain Adaptation for Bike-Sharing Demand Prediction under Temporal Domain Shift
May 22, 2026Yiming MaDomain Adaptation Transit Network Design
The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning
May 21, 2026Vishal RajputSemantic-Geometric Representations Loss Function
SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data
May 21, 2026Patryk Bartkowiak, Bartosz Kotrys, Dominik Michels +2Synthetic-To-Real Domain Gap Domain Adaptation
No Epoch Like the Present: Robust Climate Emulation Requires Out-of-Distribution Generalisation
May 21, 2026Bradley Stanley-Clamp, Anson Lei, Hannah M. Christensen +1Emulators Global Climate Models
Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shift
May 21, 2026Sungjun Lim, Heedong Kim, Andrew Lee +1Model Interpretability Mechanistic Interpretability
A New Framework to Analyse the Distributional Robustness of Deep Neural Networks
May 20, 2026Divij Khaitan, Subhashis BanerjeeDistribution Shifts Model Weights
SkySeg: Collaborative Onboard Semantic Segmentation with Heterogeneous UAVs in the Wild
May 20, 2026Anqi Lu, Yun Cheng, Youbing Hu +3Multi-Uav Systems Dense Semantic Segmentation
Continual Segmentation under Joint Nonstationarity
May 19, 2026Prashant Pandey, Himanshu Kumar, Devineni Sri Venkatraya Chowdary +1Efficient Continual Learning Semi-Supervised Learning
Multi-axis Analysis of Image Manipulation Localization
May 19, 2026Keanu Nichols, Divya Appapogu, Giscard Biamby +3Image Editing Cross-Domain Shifts
FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes
May 19, 2026Anya Fries, Jacob A Nelson, Martin Jung +2Extrapolation Ecosystems
PrAda: Few-Shot Visual Adaptation for Text-Prompted Segmentation
May 19, 2026Gabriele Rosi, Fabio Cermelli, Carlo Masone +1Few-Shot Segmentation Few-Shot Learning
Return of Frustratingly Easy Unsupervised Video Domain Adaptation
May 19, 2026Pengfei Wei, Yiqun Sun, Zhiqiang Xu +2Domain Adaptation Vision-Language Model Adaptation
DeRegiME: Deep Regime Mixtures for Probabilistic Forecasting under Distribution Shift
May 19, 2026Kieran Wood, Stefan Zohren, Stephen J. RobertsDistribution Shifts Gaussian Process
Generation of Heterogeneous PET Images from Uniform Organ Activity Maps Using a Pretrained Domain-Adapted Diffusion Model
May 18, 2026Suya Li, Kaushik Dutta, Debojyoti Pal +2Positron Emission Tomography Medical Image Generation
An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
May 18, 2026Maja Pavlovic, Silviu Paun, Massimo PoesioSoft-Label Artificial Intelligence Alignment
Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging
May 18, 2026Zhilin Zhu, Yabin Wang, Zhiheng Ma +3Continual Test-Time Adaptation Domain Shift
Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts
May 18, 2026Jiaxiao Xu, Changhong Mou, Yeyu Zhang +1Fourier Neural Operators Symmetry
S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs
May 18, 2026Yuhan Wang, Haopeng Zhang, Yibo Ding +6Text-Attributed Graph Large Language Model Alignment
Uncertainty Reliability Under Domain Shift: An Investigation for Data-Driven Blood Pressure Estimation in Photoplethysmography
May 18, 2026Mohammad Moulaeifard, Ciaran Bench, Philip J. Aston +1Cuffless Blood Pressure Estimation Calibrated Uncertainty
UAVFF3D: A Geometry-Aware Benchmark for Feed-Forward UAV 3D Reconstruction
May 18, 2026Xiang Yang, Yongli Wang, HaiFeng Li +1Feed-Forward 3D Reconstruction 3D Reconstruction
UniAlign: A Model-Agnostic Framework for Robust Network Traffic Classification under Distribution Shifts
May 17, 2026Tongze Wang, Xiaohui Xie, Wenduo Wang +2Distribution Shifts Network Traffic
Iterative Chow Filtering for Learning with Distribution Shift
May 17, 2026Gautam Chandrasekaran, Georgios Gkrinias, Adam R. Klivans +2Distributional Learning Distribution Shifts
Towards Principled Test-Time Adaptation for Time Series Forecasting
May 17, 2026Haochun Wang, Ruichen Xu, Georgios Kementzidis +3Continual Test-Time Adaptation Multivariate Forecasting
Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift
May 17, 2026Paulo Akira F. Enabe, Rodrigo ProvasiCovariate Shift Distribution Shifts
Unsupervised Domain Shift Detection with Interpretable Subspace Attribution
May 15, 2026Sebastian Springer, Alessandro LaioCross-Domain Shifts Domain Shift
SuperADD: Training-free Class-agnostic Anomaly Segmentation -- CVPR 2026 VAND 4.0 Workshop Challenge Industrial Track
May 14, 2026Lukas Roming, Felix Lehnerer, Jonas V. Funk +4Zero-Shot Anomaly Detection Anomaly Detection
When Answers Stray from Questions: Hallucination Detection via Question-Answer Orthogonal Decomposition
May 14, 2026Siyang Yao, Erhu Feng, Yubin XiaHallucination Detection Domain Shift
Refining Pseudo-Audio Prompts with Speech-Text Alignment for Text-Only Domain Adaptation in LLM-Based ASR
May 14, 2026Ryo Magoshi, Takashi Maekaku, Yusuke ShinoharaLlm-Based Automatic Speech Recognition Domain Adaptation
Language-Induced Priors for Domain Adaptation
May 14, 2026Qiyuan Chen, Jiayu Zhou, Raed Al KontarDomain Adaptation Prior Knowledge
TILT: Target-induced loss tilting under covariate shift
May 14, 2026Kakei Yamamoto, Martin J. WainwrightDomain Adaptation Covariate Shift
JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift
May 13, 2026Lavsen Dahal, Yubraj Bhandari, Geoffrey Rubin +1Radiomics Distribution Shifts
Reducing Hallucination in Vision-Language Models via Stage-wise Preference Optimization under Distribution Shift
May 13, 2026Qinwu XuLarge Language Model Hallucination Hallucination Mitigation
Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
May 13, 2026Haonan Yuan, Qingyun Sun, Junhua Shi +3Graph Foundation Model Domain Adaptation
Neural Video Compression with Domain Transfer
May 13, 2026Tiange Zhang, Rongqun Lin, Xiandong Meng +4Neural Video Codecs Ultra-Low Bitrates
On the Limits of Latent Reuse in Diffusion Models
May 13, 2026Yifeng Yu, Lu YuLatent Space Target Domain
Beyond Oversquashing: Understanding Signal Propagation in GNNs Via Observables
May 13, 2026Eden Nagar, Ya-Wei Eileen Lin, Ron LevieGraph Neural Networks Propagation
Img2CADSeq: Image-to-CAD Generation via Sequence-Based Diffusion
May 13, 2026Shiyu Tan, Zixuan Zhao, Hao Gao +3Text-To-Cad Computer-Aided Design
Multi-Modal Guided Multi-Source Domain Adaptation for Object Detection
May 13, 2026Sangin Lee, Seokjun Kwon, Jeongmin Shin +2Object Detection Domain Adaptation

May 28, 2026 · cs.CLJ/K move · Enter open · S save

Domain Adaptation and Reasoning Frameworks in Language Models: A Controlled Experiment with Historical Cosmology

Francesco De Bernardis

Independent Researcher

We investigate how domain adaptation reshapes explanatory behavior in language models using historical cosmology as a controlled setting. In Phase 1, we train a small language model from scratch on a pre-Copernican corpus from which explicit heliocentric references were removed, and evaluate whether Earth-motion or heliocentric continuations nevertheless emerge. In Phase 2, we fine-tune a larger pretrained model using QLoRA on the same corpus in order to study how adaptation modifies explanatory framing and cosmological stance. Model outputs are evaluated using an LLM-as-judge framework that labels both cosmological stance (geocentric, heliocentric, or ambiguous) and explanatory frame (premodern versus modern). In the constrained setting of Phase 1, the smaller models occasionally generate local Earth-motion continuations, but these remain globally unstable and insufficient to support coherent cosmological reasoning. In Phase 2, fine-tuning induces a large and statistically significant shift toward premodern explanatory framing, while the conditional cosmological stance distributions remain comparatively stable within those frames. As a result, increases in geocentric outputs arise primarily from redistribution over explanatory regimes rather than from direct modification of stance. These results suggest that domain adaptation may primarily reshape the linguistic frameworks from which continuations are generated, with changes in stance emerging secondarily from those shifts.

Large Language Model Adaptation Domain Adaptation Task Framing Cosmology Text Corpora

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