Saved in:
| Main Authors: | Li, Yang, Luo, Mingxuan, Gong, Yeyun, Lin, Chen, Jiao, Jian, Liu, Yi, Huang, Kaili |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.05497 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Task Oriented In-Domain Data Augmentation
by: Liang, Xiao, et al.
Published: (2024)
by: Liang, Xiao, et al.
Published: (2024)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification
by: Shi, Yuntao, et al.
Published: (2025)
by: Shi, Yuntao, et al.
Published: (2025)
Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models
by: He, Xiang, et al.
Published: (2026)
by: He, Xiang, et al.
Published: (2026)
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
by: Luo, Yi, et al.
Published: (2024)
by: Luo, Yi, et al.
Published: (2024)
Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)
by: Zhang, Shimao, et al.
Published: (2025)
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators
by: He, Xingwei, et al.
Published: (2023)
by: He, Xingwei, et al.
Published: (2023)
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
by: Chen, Zijie, et al.
Published: (2026)
by: Chen, Zijie, et al.
Published: (2026)
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training
by: Luo, Zheheng, et al.
Published: (2024)
by: Luo, Zheheng, et al.
Published: (2024)
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
by: Park, Sungjin, et al.
Published: (2024)
by: Park, Sungjin, et al.
Published: (2024)
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
by: Shin, Haebin, et al.
Published: (2025)
by: Shin, Haebin, et al.
Published: (2025)
ConsintBench: Evaluating Language Models on Real-World Consumer Intent Understanding
by: Li, Xiaozhe, et al.
Published: (2025)
by: Li, Xiaozhe, et al.
Published: (2025)
From Intention To Implementation: Automating Biomedical Research via LLMs
by: Luo, Yi, et al.
Published: (2024)
by: Luo, Yi, et al.
Published: (2024)
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
by: He, Qianyu, et al.
Published: (2025)
by: He, Qianyu, et al.
Published: (2025)
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)
by: Li, Haoling, et al.
Published: (2024)
Rho-1: Not All Tokens Are What You Need
by: Lin, Zhenghao, et al.
Published: (2024)
by: Lin, Zhenghao, et al.
Published: (2024)
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models
by: Wang, Jiayin, et al.
Published: (2024)
by: Wang, Jiayin, et al.
Published: (2024)
Aligning Translation-Specific Understanding to General Understanding in Large Language Models
by: Huang, Yichong, et al.
Published: (2024)
by: Huang, Yichong, et al.
Published: (2024)
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
by: Sun, Jiashuo, et al.
Published: (2022)
by: Sun, Jiashuo, et al.
Published: (2022)
m3BERT: A Modern, Multi-lingual, Matryoshka Bidirectional Encoder
by: Wang, Yaoxiang, et al.
Published: (2026)
by: Wang, Yaoxiang, et al.
Published: (2026)
Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data
by: Deng, Haoran, et al.
Published: (2025)
by: Deng, Haoran, et al.
Published: (2025)
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)
by: Gou, Zhibin, et al.
Published: (2023)
DeepThink3D: Enhancing Large Language Models with Programmatic Reasoning in Complex 3D Situated Reasoning Tasks
by: Song, Jiayi, et al.
Published: (2025)
by: Song, Jiayi, et al.
Published: (2025)
Fine-Tuned Language Models for Domain-Specific Summarization and Tagging
by: Wang, Jun, et al.
Published: (2025)
by: Wang, Jun, et al.
Published: (2025)
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training
by: Yang, Kailai, et al.
Published: (2025)
by: Yang, Kailai, et al.
Published: (2025)
Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens
by: Chen, Wei-Lin, et al.
Published: (2026)
by: Chen, Wei-Lin, et al.
Published: (2026)
SPILL: Domain-Adaptive Intent Clustering based on Selection and Pooling with Large Language Models
by: Lin, I-Fan, et al.
Published: (2025)
by: Lin, I-Fan, et al.
Published: (2025)
How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
by: Zhang, Shimao, et al.
Published: (2025)
by: Zhang, Shimao, et al.
Published: (2025)
Optimizing Large Language Model Training Using FP4 Quantization
by: Wang, Ruizhe, et al.
Published: (2025)
by: Wang, Ruizhe, et al.
Published: (2025)
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
by: Li, Haitao, et al.
Published: (2024)
by: Li, Haitao, et al.
Published: (2024)
Aligning Large Language Models with Implicit Preferences from User-Generated Content
by: Tan, Zhaoxuan, et al.
Published: (2025)
by: Tan, Zhaoxuan, et al.
Published: (2025)
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
Examining Forgetting in Continual Pre-training of Aligned Large Language Models
by: Li, Chen-An, et al.
Published: (2024)
by: Li, Chen-An, et al.
Published: (2024)
Training Matryoshka Mixture-of-Experts for Elastic Inference-Time Expert Utilization
by: Wang, Yaoxiang, et al.
Published: (2025)
by: Wang, Yaoxiang, et al.
Published: (2025)
Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey
by: Song, Zirui, et al.
Published: (2025)
by: Song, Zirui, et al.
Published: (2025)
Proactive Dialogue Model with Intent Prediction
by: Luo, Yang
Published: (2026)
by: Luo, Yang
Published: (2026)
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
by: Lin, Zhenghao, et al.
Published: (2025)
by: Lin, Zhenghao, et al.
Published: (2025)
Respond Beyond Language: A Benchmark for Video Generation in Response to Realistic User Intents
by: Wang, Shuting, et al.
Published: (2025)
by: Wang, Shuting, et al.
Published: (2025)
Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes
by: Gong, Zhuocheng, et al.
Published: (2025)
by: Gong, Zhuocheng, et al.
Published: (2025)
Similar Items
-
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023) -
Task Oriented In-Domain Data Augmentation
by: Liang, Xiao, et al.
Published: (2024) -
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023) -
HiCaM: A Hierarchical-Causal Modification Framework for Long-Form Text Modification
by: Shi, Yuntao, et al.
Published: (2025) -
Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models
by: He, Xiang, et al.
Published: (2026)