Saved in:
| Main Authors: | Zhao, Xinping, Huang, Shouzheng, Zhong, Yan, Hu, Xinshuo, Zhang, Meishan, Hu, Baotian, Zhang, Min |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.15586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
by: Huang, Shouzheng, et al.
Published: (2026)
by: Huang, Shouzheng, et al.
Published: (2026)
On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
by: Zhang, Meishan, et al.
Published: (2025)
by: Zhang, Meishan, et al.
Published: (2025)
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment
by: Liu, Zhenyu, et al.
Published: (2025)
by: Liu, Zhenyu, et al.
Published: (2025)
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
by: Chen, Zhuoen, et al.
Published: (2026)
by: Chen, Zhuoen, et al.
Published: (2026)
LMEB: Long-horizon Memory Embedding Benchmark
by: Zhao, Xinping, et al.
Published: (2026)
by: Zhao, Xinping, et al.
Published: (2026)
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
by: Li, Dongfang, et al.
Published: (2024)
by: Li, Dongfang, et al.
Published: (2024)
Improving Attributed Text Generation of Large Language Models via Preference Learning
by: Li, Dongfang, et al.
Published: (2024)
by: Li, Dongfang, et al.
Published: (2024)
KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model
by: Zhao, Xinping, et al.
Published: (2025)
by: Zhao, Xinping, et al.
Published: (2025)
In-Context Learning State Vector with Inner and Momentum Optimization
by: Li, Dongfang, et al.
Published: (2024)
by: Li, Dongfang, et al.
Published: (2024)
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
by: Hu, Xinshuo, et al.
Published: (2023)
by: Hu, Xinshuo, et al.
Published: (2023)
RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer
by: Hu, Xinshuo, et al.
Published: (2024)
by: Hu, Xinshuo, et al.
Published: (2024)
Beyond Chunking: Discourse-Aware Hierarchical Retrieval for Long Document Question Answering
by: Chen, Huiyao, et al.
Published: (2025)
by: Chen, Huiyao, et al.
Published: (2025)
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model
by: Hu, Xinshuo, et al.
Published: (2025)
by: Hu, Xinshuo, et al.
Published: (2025)
Generative Multimodal Entity Linking
by: Shi, Senbao, et al.
Published: (2023)
by: Shi, Senbao, et al.
Published: (2023)
Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
by: Zhang, Chenyuan, et al.
Published: (2026)
by: Zhang, Chenyuan, et al.
Published: (2026)
Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification
by: Chen, Huiyao, et al.
Published: (2024)
by: Chen, Huiyao, et al.
Published: (2024)
Improving Value-based Process Verifier via Low-Cost Variance Reduction
by: Sun, Zetian, et al.
Published: (2025)
by: Sun, Zetian, et al.
Published: (2025)
Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing
by: Guo, Peiming, et al.
Published: (2025)
by: Guo, Peiming, et al.
Published: (2025)
In-Context Learning for Few-Shot Nested Named Entity Recognition
by: Zhang, Meishan, et al.
Published: (2024)
by: Zhang, Meishan, et al.
Published: (2024)
Temporal Knowledge Question Answering via Abstract Reasoning Induction
by: Chen, Ziyang, et al.
Published: (2023)
by: Chen, Ziyang, et al.
Published: (2023)
Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation
by: Qi, Rui, et al.
Published: (2026)
by: Qi, Rui, et al.
Published: (2026)
Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards
by: Sun, Zetian, et al.
Published: (2025)
by: Sun, Zetian, et al.
Published: (2025)
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
by: Chen, Yiqun, et al.
Published: (2025)
by: Chen, Yiqun, et al.
Published: (2025)
Improving Value-based Process Verifier via Structural Prior Injection
by: Sun, Zetian, et al.
Published: (2025)
by: Sun, Zetian, et al.
Published: (2025)
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
by: Zhang, Zongmeng, et al.
Published: (2024)
by: Zhang, Zongmeng, et al.
Published: (2024)
Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented Generation
by: Luo, Weiqing, et al.
Published: (2026)
by: Luo, Weiqing, et al.
Published: (2026)
A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation
by: Chen, Ziyang, et al.
Published: (2025)
by: Chen, Ziyang, et al.
Published: (2025)
A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
by: Wang, Zhao, et al.
Published: (2026)
by: Wang, Zhao, et al.
Published: (2026)
Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph
by: Hu, Jianpeng, et al.
Published: (2026)
by: Hu, Jianpeng, et al.
Published: (2026)
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning
by: Huang, Jerry, et al.
Published: (2025)
by: Huang, Jerry, et al.
Published: (2025)
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments
by: Li, Jinchao, et al.
Published: (2026)
by: Li, Jinchao, et al.
Published: (2026)
DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision
by: Leng, Yongqi, et al.
Published: (2025)
by: Leng, Yongqi, et al.
Published: (2025)
Is On-Policy Data always the Best Choice for Direct Preference Optimization-based LM Alignment?
by: Sun, Zetian, et al.
Published: (2025)
by: Sun, Zetian, et al.
Published: (2025)
Uni-MoE-2.0-Omni: Scaling Language-Centric Omnimodal Large Model with Advanced MoE, Training and Data
by: Li, Yunxin, et al.
Published: (2025)
by: Li, Yunxin, et al.
Published: (2025)
Similar Items
-
ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution
by: Huang, Shouzheng, et al.
Published: (2026) -
On The Role of Pretrained Language Models in General-Purpose Text Embeddings: A Survey
by: Zhang, Meishan, et al.
Published: (2025) -
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
by: Zhao, Xinping, et al.
Published: (2024) -
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
by: Zhao, Xinping, et al.
Published: (2024) -
Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment
by: Liu, Zhenyu, et al.
Published: (2025)