Saved in:
| Main Authors: | Zhou, Zhicheng, Li, Jing, Qiu, Suming, Huang, Junjie, Qiu, Linyuan, Sun, Zhijie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06776 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepJSONEval: Benchmarking Complex Nested JSON Data Mining for Large Language Models
by: Zhou, Zhicheng, et al.
Published: (2025)
by: Zhou, Zhicheng, et al.
Published: (2025)
HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton Guidance
by: Qiu, Suming, et al.
Published: (2025)
by: Qiu, Suming, et al.
Published: (2025)
Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting
by: Qiu, Suming, et al.
Published: (2025)
by: Qiu, Suming, et al.
Published: (2025)
Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement Learning
by: Li, Jing, et al.
Published: (2025)
by: Li, Jing, et al.
Published: (2025)
MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning
by: Li, Xuchen, et al.
Published: (2026)
by: Li, Xuchen, et al.
Published: (2026)
From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation
by: Wang, Yongqi, et al.
Published: (2026)
by: Wang, Yongqi, et al.
Published: (2026)
Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation
by: Qian, Yu-Yang, et al.
Published: (2026)
by: Qian, Yu-Yang, et al.
Published: (2026)
Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning
by: Qiu, Haomiao, et al.
Published: (2025)
by: Qiu, Haomiao, et al.
Published: (2025)
ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
by: Sun, Bin, et al.
Published: (2025)
by: Sun, Bin, et al.
Published: (2025)
Differentially Private Preference Data Synthesis for Large Language Model Alignment
by: Gao, Fengyu, et al.
Published: (2026)
by: Gao, Fengyu, et al.
Published: (2026)
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
by: Chen, Wei, et al.
Published: (2026)
by: Chen, Wei, et al.
Published: (2026)
Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
by: Qiu, Zhongxi, et al.
Published: (2025)
by: Qiu, Zhongxi, et al.
Published: (2025)
DIDA: Denoised Imitation Learning based on Domain Adaptation
by: Huang, Kaichen, et al.
Published: (2024)
by: Huang, Kaichen, et al.
Published: (2024)
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment
by: Liu, Zhanyu, et al.
Published: (2026)
by: Liu, Zhanyu, et al.
Published: (2026)
Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
by: Jin, Luozhijie, et al.
Published: (2025)
by: Jin, Luozhijie, et al.
Published: (2025)
From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation
by: Cai, Rongyao, et al.
Published: (2025)
by: Cai, Rongyao, et al.
Published: (2025)
"What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
by: Babbar, Varun, et al.
Published: (2024)
by: Babbar, Varun, et al.
Published: (2024)
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
by: Zhang, Mozhi, et al.
Published: (2025)
by: Zhang, Mozhi, et al.
Published: (2025)
Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding
by: Jing, Zihao, et al.
Published: (2026)
by: Jing, Zihao, et al.
Published: (2026)
LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
by: Yang, Junxiao, et al.
Published: (2026)
by: Yang, Junxiao, et al.
Published: (2026)
References Improve LLM Alignment in Non-Verifiable Domains
by: Shi, Kejian, et al.
Published: (2026)
by: Shi, Kejian, et al.
Published: (2026)
DAMSDAN: Distribution-Aware Multi-Source Domain Adaptation Network for Cross-Domain EEG-based Emotion Recognition
by: Hu, Fo, et al.
Published: (2025)
by: Hu, Fo, et al.
Published: (2025)
Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)
by: Zhang, Xiyang, et al.
Published: (2026)
FUSE-Traffic: Fusion of Unstructured and Structured Data for Event-aware Traffic Forecasting
by: Yu, Chenyang, et al.
Published: (2025)
by: Yu, Chenyang, et al.
Published: (2025)
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)
by: Dong, Guanting, et al.
Published: (2024)
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
by: Ye, Jiasheng, et al.
Published: (2024)
by: Ye, Jiasheng, et al.
Published: (2024)
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Model
by: Huang, Xiannan, et al.
Published: (2025)
by: Huang, Xiannan, et al.
Published: (2025)
Alignment Dynamics in LLM Fine-Tuning
by: Huang, Yuhan, et al.
Published: (2026)
by: Huang, Yuhan, et al.
Published: (2026)
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
by: Zhang, Jiazheng, et al.
Published: (2025)
by: Zhang, Jiazheng, et al.
Published: (2025)
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning
by: Spitzer, Philipp, et al.
Published: (2025)
by: Spitzer, Philipp, et al.
Published: (2025)
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation
by: Kotecha, Madhav, et al.
Published: (2025)
by: Kotecha, Madhav, et al.
Published: (2025)
Rethinking Propagation for Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)
by: Liu, Meihan, et al.
Published: (2024)
Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining
by: Feng, Steven, et al.
Published: (2024)
by: Feng, Steven, et al.
Published: (2024)
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
by: Wang, Duo, et al.
Published: (2024)
by: Wang, Duo, et al.
Published: (2024)
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
by: Cai, Ruichu, et al.
Published: (2025)
by: Cai, Ruichu, et al.
Published: (2025)
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
by: Yang, Zhicheng, et al.
Published: (2026)
by: Yang, Zhicheng, et al.
Published: (2026)
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
by: Gong, Chenghua, et al.
Published: (2025)
by: Gong, Chenghua, et al.
Published: (2025)
Semantic Trajectory Data Mining with LLM-Informed POI Classification
by: Liu, Yifan, et al.
Published: (2024)
by: Liu, Yifan, et al.
Published: (2024)
Similar Items
-
DeepJSONEval: Benchmarking Complex Nested JSON Data Mining for Large Language Models
by: Zhou, Zhicheng, et al.
Published: (2025) -
HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton Guidance
by: Qiu, Suming, et al.
Published: (2025) -
Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting
by: Qiu, Suming, et al.
Published: (2025) -
Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement Learning
by: Li, Jing, et al.
Published: (2025) -
MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning
by: Li, Xuchen, et al.
Published: (2026)