Saved in:
| Main Authors: | Li, Jiahao, Wang, Quan, Zhang, Licheng, Jin, Guoqing, Mao, Zhendong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.10738 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
by: Wang, Shaohan, et al.
Published: (2025)
by: Wang, Shaohan, et al.
Published: (2025)
Mitigating Biases in Language Models via Bias Unlearning
by: Liu, Dianqing, et al.
Published: (2025)
by: Liu, Dianqing, et al.
Published: (2025)
Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
by: Li, Jiaang, et al.
Published: (2026)
by: Li, Jiaang, et al.
Published: (2026)
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
by: Wang, Pengyu, et al.
Published: (2026)
by: Wang, Pengyu, et al.
Published: (2026)
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
by: Li, Jiaang, et al.
Published: (2024)
by: Li, Jiaang, et al.
Published: (2024)
Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles
by: Wang, Shaohan, et al.
Published: (2026)
by: Wang, Shaohan, et al.
Published: (2026)
Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
by: Chen, Yihan, et al.
Published: (2024)
by: Chen, Yihan, et al.
Published: (2024)
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization
by: Zhu, Mingye, et al.
Published: (2024)
by: Zhu, Mingye, et al.
Published: (2024)
SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder
by: Liu, Dengcan, et al.
Published: (2025)
by: Liu, Dengcan, et al.
Published: (2025)
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
by: Zhong, Tianqi, et al.
Published: (2024)
by: Zhong, Tianqi, et al.
Published: (2024)
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)
by: Xu, Benfeng, et al.
Published: (2023)
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability
by: Zhu, Chiwei, et al.
Published: (2025)
by: Zhu, Chiwei, et al.
Published: (2025)
SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
by: Liu, Yewei, et al.
Published: (2026)
by: Liu, Yewei, et al.
Published: (2026)
LECTOR: LLM-Enhanced Concept-based Test-Oriented Repetition for Adaptive Spaced Learning
by: Zhao, Jiahao
Published: (2025)
by: Zhao, Jiahao
Published: (2025)
Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse Granularity
by: Quan, Shanghaoran
Published: (2024)
by: Quan, Shanghaoran
Published: (2024)
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
by: Zhu, Chiwei, et al.
Published: (2025)
by: Zhu, Chiwei, et al.
Published: (2025)
Document Reconstruction Unlocks Scalable Long-Context RLVR
by: Xiao, Yao, et al.
Published: (2026)
by: Xiao, Yao, et al.
Published: (2026)
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Training LLM-Based Agents with Synthetic Self-Reflected Trajectories and Partial Masking
by: Chen, Yihan, et al.
Published: (2025)
by: Chen, Yihan, et al.
Published: (2025)
ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue
by: Shen, Jiawei, et al.
Published: (2026)
by: Shen, Jiawei, et al.
Published: (2026)
Probing How Scalable Table Data Enhances General Long-Context Reasoning
by: Xie, Huaibing, et al.
Published: (2026)
by: Xie, Huaibing, et al.
Published: (2026)
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses
by: Li, Jia-Nan, et al.
Published: (2024)
by: Li, Jia-Nan, et al.
Published: (2024)
Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models
by: Zhang, Huatian, et al.
Published: (2026)
by: Zhang, Huatian, et al.
Published: (2026)
Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data
by: Xiao, Jiahao, et al.
Published: (2025)
by: Xiao, Jiahao, et al.
Published: (2025)
Adaptive Rectification Sampling for Test-Time Compute Scaling
by: Tan, Zhendong, et al.
Published: (2025)
by: Tan, Zhendong, et al.
Published: (2025)
Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing
by: Tian, Yuanhe, et al.
Published: (2025)
by: Tian, Yuanhe, et al.
Published: (2025)
Acceleration Multiple Heads Decoding for LLM via Dynamic Tree Attention
by: Zhang, Zhendong
Published: (2025)
by: Zhang, Zhendong
Published: (2025)
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
by: Wang, Siyuan, et al.
Published: (2025)
by: Wang, Siyuan, et al.
Published: (2025)
An Index-based Approach for Efficient and Effective Web Content Extraction
by: Chen, Yihan, et al.
Published: (2025)
by: Chen, Yihan, et al.
Published: (2025)
Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
by: Li, Ruizhe, et al.
Published: (2025)
by: Li, Ruizhe, et al.
Published: (2025)
Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation
by: Alhazmi, Elaf, et al.
Published: (2026)
by: Alhazmi, Elaf, et al.
Published: (2026)
Leveraging Robust Optimization for LLM Alignment under Distribution Shifts
by: Zhu, Mingye, et al.
Published: (2025)
by: Zhu, Mingye, et al.
Published: (2025)
Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
by: Wang, Zheng, et al.
Published: (2024)
by: Wang, Zheng, et al.
Published: (2024)
Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models
by: Song, Mingyang, et al.
Published: (2024)
by: Song, Mingyang, et al.
Published: (2024)
DeepResearch Bench II: Diagnosing Deep Research Agents via Rubrics from Expert Report
by: Li, Ruizhe, et al.
Published: (2026)
by: Li, Ruizhe, et al.
Published: (2026)
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models
by: Wen, Xumeng, et al.
Published: (2025)
by: Wen, Xumeng, et al.
Published: (2025)
ExpThink: Experience-Guided Reinforcement Learning for Adaptive Chain-of-Thought Compression
by: Bian, Tingcheng, et al.
Published: (2026)
by: Bian, Tingcheng, et al.
Published: (2026)
Understanding In-Context Learning from Repetitions
by: Yan, Jianhao, et al.
Published: (2023)
by: Yan, Jianhao, et al.
Published: (2023)
InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training
by: Zhang, Ziyun, et al.
Published: (2026)
by: Zhang, Ziyun, et al.
Published: (2026)
Factorized Learning Assisted with Large Language Model for Gloss-free Sign Language Translation
by: Chen, Zhigang, et al.
Published: (2024)
by: Chen, Zhigang, et al.
Published: (2024)
Similar Items
-
DACL-RAG: Data Augmentation Strategy with Curriculum Learning for Retrieval-Augmented Generation
by: Wang, Shaohan, et al.
Published: (2025) -
Mitigating Biases in Language Models via Bias Unlearning
by: Liu, Dianqing, et al.
Published: (2025) -
Align Documents to Questions: Question-Oriented Document Rewriting for Retrieval-Augmented Generation
by: Li, Jiaang, et al.
Published: (2026) -
WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora
by: Wang, Pengyu, et al.
Published: (2026) -
ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA
by: Li, Jiaang, et al.
Published: (2024)