Saved in:
| Main Authors: | Lin, Yuping, Li, Zitao, Xing, Yue, He, Pengfei, Cui, Yingqian, Li, Yaliang, Ding, Bolin, Zhou, Jingren, Tang, Jiliang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.11162 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights
by: Chen, Yanxi, et al.
Published: (2024)
by: Chen, Yanxi, et al.
Published: (2024)
Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024)
by: Chen, Yanxi, et al.
Published: (2024)
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
by: Pan, Xuchen, et al.
Published: (2024)
by: Pan, Xuchen, et al.
Published: (2024)
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
by: Cui, Yingqian, et al.
Published: (2024)
by: Cui, Yingqian, et al.
Published: (2024)
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
by: Wu, Feijie, et al.
Published: (2024)
by: Wu, Feijie, et al.
Published: (2024)
Talk to Right Specialists: Iterative Routing in Multi-agent Systems for Question Answering
by: Wu, Feijie, et al.
Published: (2025)
by: Wu, Feijie, et al.
Published: (2025)
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
by: Lin, Yuping, et al.
Published: (2024)
by: Lin, Yuping, et al.
Published: (2024)
Superiority of Multi-Head Attention in In-Context Linear Regression
by: Cui, Yingqian, et al.
Published: (2024)
by: Cui, Yingqian, et al.
Published: (2024)
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoning
by: He, Pengfei, et al.
Published: (2024)
by: He, Pengfei, et al.
Published: (2024)
Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory
by: He, Shiqi, et al.
Published: (2025)
by: He, Shiqi, et al.
Published: (2025)
Towards Anthropomorphic Conversational AI Part I: A Practical Framework
by: Wei, Fei, et al.
Published: (2025)
by: Wei, Fei, et al.
Published: (2025)
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
by: Cui, Yue, et al.
Published: (2025)
by: Cui, Yue, et al.
Published: (2025)
Improving LoRA in Privacy-preserving Federated Learning
by: Sun, Youbang, et al.
Published: (2024)
by: Sun, Youbang, et al.
Published: (2024)
Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search
by: Cui, Yingqian, et al.
Published: (2025)
by: Cui, Yingqian, et al.
Published: (2025)
Enhancing Latent Computation in Transformers with Latent Tokens
by: Sun, Yuchang, et al.
Published: (2025)
by: Sun, Yuchang, et al.
Published: (2025)
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism
by: Chen, Yanxi, et al.
Published: (2023)
by: Chen, Yanxi, et al.
Published: (2023)
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
by: Min, Yingqian, et al.
Published: (2024)
by: Min, Yingqian, et al.
Published: (2024)
AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
by: Ding, Zhongjun, et al.
Published: (2025)
by: Ding, Zhongjun, et al.
Published: (2025)
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection
by: Cui, Yue, et al.
Published: (2025)
by: Cui, Yue, et al.
Published: (2025)
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning
by: Cui, Yue, et al.
Published: (2024)
by: Cui, Yue, et al.
Published: (2024)
Automated Profile Inference with Language Model Agents
by: Du, Yuntao, et al.
Published: (2025)
by: Du, Yuntao, et al.
Published: (2025)
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
by: Cui, Yingqian, et al.
Published: (2025)
by: Cui, Yingqian, et al.
Published: (2025)
BiMix: A Bivariate Data Mixing Law for Language Model Pretraining
by: Ge, Ce, et al.
Published: (2024)
by: Ge, Ce, et al.
Published: (2024)
FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)
by: Cui, Yingqian, et al.
Published: (2023)
How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision?
by: Cui, Yingqian, et al.
Published: (2026)
by: Cui, Yingqian, et al.
Published: (2026)
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
by: Zeng, Shenglai, et al.
Published: (2024)
by: Zeng, Shenglai, et al.
Published: (2024)
Accurate Table Question Answering with Accessible LLMs
by: Jiang, Yangfan, et al.
Published: (2026)
by: Jiang, Yangfan, et al.
Published: (2026)
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
by: Zeng, Shenglai, et al.
Published: (2024)
by: Zeng, Shenglai, et al.
Published: (2024)
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models
by: Ji, Jiarui, et al.
Published: (2024)
by: Ji, Jiarui, et al.
Published: (2024)
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)
by: Cui, Yingqian, et al.
Published: (2023)
Tree-based Models for Vertical Federated Learning: A Survey
by: Qian, Bingchen, et al.
Published: (2025)
by: Qian, Bingchen, et al.
Published: (2025)
Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
by: Li, Hang, et al.
Published: (2024)
by: Li, Hang, et al.
Published: (2024)
Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation
by: Zhang, Ze Yu, et al.
Published: (2025)
by: Zhang, Ze Yu, et al.
Published: (2025)
A Simple Plug-in for Improving Eviction-Based KV Cache Compression
by: Lin, Yuping, et al.
Published: (2026)
by: Lin, Yuping, et al.
Published: (2026)
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development
by: Chen, Daoyuan, et al.
Published: (2024)
by: Chen, Daoyuan, et al.
Published: (2024)
Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models
by: Pan, Xuchen, et al.
Published: (2025)
by: Pan, Xuchen, et al.
Published: (2025)
An Auction-based Marketplace for Model Trading in Federated Learning
by: Cui, Yue, et al.
Published: (2024)
by: Cui, Yue, et al.
Published: (2024)
Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs
by: Wei, Fei, et al.
Published: (2025)
by: Wei, Fei, et al.
Published: (2025)
Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)
by: Zeng, Shenglai, et al.
Published: (2023)
Knowledge Graph-Guided Retrieval Augmented Generation
by: Zhu, Xiangrong, et al.
Published: (2025)
by: Zhu, Xiangrong, et al.
Published: (2025)
Similar Items
-
Designing Algorithms Empowered by Language Models: An Analytical Framework, Case Studies, and Insights
by: Chen, Yanxi, et al.
Published: (2024) -
Provable Scaling Laws for the Test-Time Compute of Large Language Models
by: Chen, Yanxi, et al.
Published: (2024) -
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models
by: Pan, Xuchen, et al.
Published: (2024) -
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
by: Cui, Yingqian, et al.
Published: (2024) -
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
by: Wu, Feijie, et al.
Published: (2024)