Low-Rank Adaptation

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Low-Rank Adaptation

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Low-Rank Adaptation Adapters

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Weblica: Scalable and Reproducible Training Environments for Visual Web Agents
May 7, 2026Oğuzhan Fatih Kar, Roman Bachmann, Yuanzheng Gong +2Web Agents Web
PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization
May 7, 2026Murat Bilgehan Ertan, Xiaochen Zhu, Phuong Ha Nguyen +2Parameter-Efficient Fine-Tuning Membership Inference Attacks
FedFrozen: Two-Stage Federated Optimization via Attention Kernel Freezing
May 7, 2026Junye Du, Zhenghao Li, Yushi Feng +1Transformer Attention Progressive Attention Fusion
Fine-Tuning Small Language Models for Solution-Oriented Windows Event Log Analysis
May 7, 2026Siraaj Akhtar, Saad Khan, Simon ParkinsonSmall Language Models Large Language Model Fine-Tuning
Rethinking Adapter Placement: A Dominant Adaptation Module Perspective
May 7, 2026Suoxin Zhang, Run He, Di Fang +3Low-Rank Adaptation Adapters Low-Rank Adaptation
Beyond Factor Aggregation: Gauge-Aware Low-Rank Server Representations for Federated LoRA
May 7, 2026Jinqian Chen, Chang Liu, Jihua ZhuLow-Rank Adaptation Low-Rank Factorization
VLA-GSE: Boosting Parameter-Efficient Fine-Tuning in VLA with Generalized and Specialized Experts
May 7, 2026Yuhua Jiang, Junjie Lu, Xinyao Qin +4Large Vision Language Models Parameter-Efficient Fine-Tuning
One Algorithm, Two Goals: Dual Scoring for Parameter and Data Selection in LLM Fine-Tuning
May 7, 2026Xinrui Chen, Liu Yang, Ou WuLarge Language Model Fine-Tuning Continual Fine-Tuning
BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification
May 7, 2026Yi-Siang Wang, Kuan-Yu Chen, Yu-Chen Den +1Large Language Model Fine-Tuning Tabular Learning
Safety Anchor: Defending Harmful Fine-tuning via Geometric Bottlenecks
May 7, 2026Guoxin Lu, Letian Sha, Qing Wang +4Harmful Fine-Tuning Large Language Model Safety
Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters
May 7, 2026Hinako Mitsuoka, Kazuhiro HottaFew-Shot Medical Image Segmentation Medical Image Segmentation
Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning
May 7, 2026Myoungjun Kim, Sangwoo Park, Yoseob Han +1Federated Learning Low-Rank Adaptation
CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning
May 7, 2026Md Anwar Hossen, Fatema Siddika, Juan Pablo Munoz +2Catastrophic Forgetting Large Language Model Adaptation
Decomposing the Basic Abilities of Large Language Models: Mitigating Cross-Task Interference in Multi-Task Instruct-Tuning
May 7, 2026Bing Wang, Ximing Li, Changchun Li +3Instruction Tuning Cross-Task Interference
Information Theoretic Adversarial Training of Large Language Models
May 6, 2026Yiwei Zhang, Jeremiah Birrell, Reza Ebrahimi +3Language Model Evasion Attacks Adversarial Transferability
D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models
May 6, 2026Dengyang Jiang, Xin Jin, Dongyang Liu +9On-Policy Distillation Rp-Opsd
Attribution-Guided Continual Learning for Large Language Models
May 6, 2026Yazheng Liu, Yuxuan Wan, Rui Xu +3Large Language Model Fine-Tuning Catastrophic Forgetting
Adapting Large Language Models to a Low-Resource Agglutinative Language: A Comparative Study of LoRA and QLoRA for Bashkir
May 6, 2026Mullosharaf K. Arabov, Svetlana S. KhaybullinaLarge Language Model Quantization Low-Rank Adaptation
Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs
May 6, 2026Santosh Premi Adhikari, Radu Timofte, Dmitry IgnatovLarge Language Model Fine-Tuning Neural Architecture Search
From Parameter Dynamics to Risk Scoring : Quantifying Sample-Level Safety Degradation in LLM Fine-tuning
May 6, 2026Xiao Wang, Yifei Zhang, YongKang Liu +4Large Language Model Safety Large Language Model Fine-Tuning
JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions
May 6, 2026Leying Zhang, Bowen Shi, Haibin Wu +2Speech Evaluation Instruction-Tuned Models
Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control
May 6, 2026Xinyu Wang, Changzhi Sun, Yuanbin Wu +1Supervised Fine-Tuning Finetuning
LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection
May 6, 2026Yutong Xiao, Ran Ran, Jiwei Wei +4Synthetic Image Detection Generative Framework
Budgeted LoRA: Distillation as Structured Compute Allocation for Efficient Inference
May 5, 2026Mohammed Sabry, Anya BelzEfficient Inference Low-Rank Adaptation
On Adaptivity in Zeroth-Order Optimization
May 5, 2026Hassan Dbouk, Nidham Gazagnadou, Matthias Reisser +1Zeroth-Order Optimization Continual Fine-Tuning
Benchmarking Parameter-Efficient Fine-Tuning of Large Language Models for Low-Resource Tajik Text Generation with the Tajik Web Corpus
May 5, 2026Mullosharaf K. ArabovLarge Language Model Fine-Tuning Low-Resource Languages
Rethinking the Rank Threshold for LoRA Fine-Tuning
May 5, 2026Juneyoung ParkLow-Rank Adaptation Cross-Entropy Losses
MILE: Mixture of Incremental LoRA Experts for Continual Semantic Segmentation across Domains and Modalities
May 5, 2026Shishir Muralidhara, Didier Stricker, René SchusterLow-Rank Adaptation Multimodal Benchmarks
Text-Guided Multi-Scale Frequency Representation Adaptation
May 5, 2026Weicai Yan, Xinhua Ma, Wang Lin +1Parameter-Efficient Fine-Tuning Frequency
Echo-LoRA: Parameter-Efficient Fine-Tuning via Cross-Layer Representation Injection
May 5, 2026Yihang Peng, Peng Jin, Jie Gong +4Parameter-Efficient Fine-Tuning Reasoning Benchmark
Benchmarking Logistic Regression, SVM, Naive Bayes, and IndoBERT Fine-Tuning for Sentiment Analysis on Indonesian Product Reviews
May 5, 2026Nabila Zakiyah Zahra, Salwa Farhanatussaidah, Nasywa Nur Afifah +3Term Frequency-Inverse Document Frequency Indonesian E-Commerce Reviews
Mantis: Mamba-native Tuning is Efficient for 3D Point Cloud Foundation Models
May 5, 2026Zihao Guo, Jihua Zhu, Jian Liu +1Certified Point-Cloud 3D Foundation Models
CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning
May 5, 2026Jingze Ge, Xue Geng, Yun Liu +6Parameter-Efficient Fine-Tuning Model Pretraining
Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective
May 5, 2026Zhe Li, Bicheng Ying, Zidong Liu +1Zeroth-Order Optimization Neural Tangent Kernel
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
May 5, 2026Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van +3Topic Modeling Large Language Model Adaptation
Ortho-Hydra: Orthogonalized Experts for DiT LoRA
May 5, 2026Seunghyun JiMultimodal Diffusion Transformers Low-Rank Adaptation
Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning
May 4, 2026Prakhar Gupta, Garv Shah, Satyam Goyal +1Large Language Model Memory Forgetting
Compress Then Adapt? No, Do It Together via Task-aware Union of Subspaces
May 4, 2026Jingze Ge, Yun Liu, Xue Geng +4Parameter-Efficient Fine-Tuning Context Compression
Tibetan-TTS:Low-Resource Tibetan Speech Synthesis with Large Model Adaptation
May 4, 2026Jiaxu He, Chao Wang, Jie Lian +4Large Language Model Adaptation Automated Synthesis Techniques
Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent
May 4, 2026Yao Shu, Chenxing Wei, Hongbin Lin +2Reinforcement Learning With Verifiable Reward Verifiable Rewards
Generalized Distributional Alignment Games for Unbiased Answer-Level Fine-Tuning
May 4, 2026Mehryar Mohri, Jon Schneider, Yutao ZhongKullback-Leibler Divergence Training-Inference Mismatch
Reliability-Oriented Multilingual Orthopedic Diagnosis: A Domain-Adaptive Modeling and a Conceptual Validation Framework
May 4, 2026Danish Ali, Li Xiaojian, Sundas Iqbal +1Large Language Model Adaptation Large Language Model Reliability
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
May 4, 2026Shihao Hou, Chikai Shang, Zhiheng Yang +5Federated Learning Finetuning
Demographic-Aware Transfer Learning for Sleep Stage Classification in Clinical Polysomnography
May 4, 2026S M Asif Hossain, Shruti KshirsagarSleep Stage Classification Sleep
Model Spec Midtraining: Improving How Alignment Training Generalizes
May 3, 2026Chloe Li, Nevan Wichers, Sara Price +2Large Language Model Alignment Finetuning
Pair2Score: Pairwise-to-Absolute Transfer for LLM-Based Essay Scoring
May 3, 2026İbrahim Rıza Hallaç, Hasan OğulAutomated Essay Scoring Scoring
Exploring Data-Free LoRA Transferability for Video Diffusion Models
May 3, 2026Yuchen Wang, Wenliang Zhong, Lichen Bai +6Pre-Trained Video Diffusion Models Low-Rank Adaptation
Multilingual Safety Alignment via Self-Distillation
May 3, 2026Ruiyang Qin, Qingzhuo Wang, Dongrui Liu +3Multilingual Safety Large Language Model Adaptation
SCALE-LoRA: Auditing Post-Retrieval LoRA Composition with Residual Merging and View Reliability
May 2, 2026Shuaipeng Zhou, Yu ZhangLow-Rank Adaptation Adapters Low-Rank Adaptation
GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
May 2, 2026Zhiwen Ruan, Yichao Du, Jianjie Zheng +6Finetuning Instruction-Tuned Models
Multi-Perspective Transformers in ARC-AGI-2 Challenge
May 1, 2026Caleb Talley, Vedant Tibrewal, Seun Adekunle +3Puzzle Finetuning
Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning
May 1, 2026Zhi-Quan Feng, Ying-Jia Lin, Hung-Yu KaoLow-Rank Adaptation Fisher Information
Most Current Model Organisms Are Leaky: Perplexity Differencing Often Reveals Finetuning Objectives
May 1, 2026Mohammed Abu Baker, Luca Baroni, Dan WilhelmHarmful Fine-Tuning Large Language Model Safety
LLM-assisted gNB Parameter Configuration for Radio Access Network
May 1, 2026Yao-Cong Dong, Maria Amparo Canaveras Galdon, Ari Uskudar +3Open Radio Access Networks Large Language Model Fine-Tuning
AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
May 1, 2026Zhijie Cai, Haolong Chen, Guangxu ZhuAdam Zeroth-Order Optimization
Decouple before Integration: Test-time Synthesis of SFT and RLVR Task Vectors
May 1, 2026Chaohao Yuan, Chenghao Xiao, Yu Rong +2Supervised Fine-Tuning Reinforcement Learning With Verifiable Reward
Diversity in Large Language Models under Supervised Fine-Tuning
Apr 30, 2026Roman Klypa, Oleksandr CherednichenkoSupervised Fine-Tuning Diversity
Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL
Apr 30, 2026Sudong Wang, Weiquan Huang, Xiaomin Yu +9Multimodal Reasoning Supervised Fine-Tuning
Post-Optimization Adaptive Rank Allocation for LoRA
Apr 30, 2026Vishnuprasadh Kumaravelu, Sunil Gupta, P. K. SrijithLow-Rank Adaptation Gradient-Free Rank Allocator
Diagnosing Capability Gaps in Fine-Tuning Data
Apr 30, 2026Saeid Asgari Taghanaki, Rakshanda Agarwal, Bruce Sun +10Large Language Model Fine-Tuning Objectives

May 7, 2026 · cs.AIJ/K move · Enter open · S save

Weblica: Scalable and Reproducible Training Environments for Visual Web Agents

Oğuzhan Fatih Kar, Roman Bachmann, Yuanzheng Gong, Anders Boesen Lindbo Larsen+1

Apple

The web is complex, open-ended, and constantly changing, making it challenging to scale training data for visual web agents. Existing data collection attempts remain limited to offline trajectories for supervised fine-tuning or a handful of simulated environments for RL training, thus failing to capture web diversity. We propose Weblica (Web Replica), a framework for constructing reproducible and scalable web environments. Our framework leverages 1) HTTP-level caching to capture and replay stable visual states while preserving interactive behavior and 2) LLM-based environment synthesis grounded in real-world websites and core web navigation skills. Using this framework, we scale RL training to thousands of diverse environments and tasks. Our best model, Weblica-8B, outperforms open-weight baselines of similar size across multiple web navigation benchmarks while using fewer inference steps, scales favorably with additional test-time compute, and is competitive with API models.

Web Agents Web Real-World Environments Deep Reinforcement Learning Supervised Fine-Tuning Replication

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