Saved in:
| Main Authors: | Liu, Renjie, Zhang, Yanxiang, Zhu, Yun, Sun, Haicheng, Zhang, Yuanbo, Huang, Michael Xuelin, Cai, Shanqing, Meng, Lei, Zhai, Shumin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.04523 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Search Space in Gboard Decoder
by: Zhang, Yanxiang, et al.
Published: (2024)
by: Zhang, Yanxiang, et al.
Published: (2024)
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
by: Zhang, Yanxiang, et al.
Published: (2025)
by: Zhang, Yanxiang, et al.
Published: (2025)
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
by: Wu, Shanshan, et al.
Published: (2024)
by: Wu, Shanshan, et al.
Published: (2024)
No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
by: Wu, Wei-Chi, et al.
Published: (2026)
by: Wu, Wei-Chi, et al.
Published: (2026)
One for All: Update Parameterized Knowledge Across Multiple Models
by: Ma, Weitao, et al.
Published: (2025)
by: Ma, Weitao, et al.
Published: (2025)
Can Capacitive Touch Images Enhance Mobile Keyboard Decoding?
by: Lertvittayakumjorn, Piyawat, et al.
Published: (2024)
by: Lertvittayakumjorn, Piyawat, et al.
Published: (2024)
One Ring to Rule Them All: Unifying Group-Based RL via Dynamic Power-Mean Geometry
by: Zhao, Weisong, et al.
Published: (2026)
by: Zhao, Weisong, et al.
Published: (2026)
Proofreading Tips
Published: (2024)
Published: (2024)
Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning
by: Zhang, Dongxu, et al.
Published: (2025)
by: Zhang, Dongxu, et al.
Published: (2025)
Theorem Provers: One Size Fits All?
by: Oates, Harrison, et al.
Published: (2025)
by: Oates, Harrison, et al.
Published: (2025)
GraphKV: Breaking the Static Selection Paradigm with Graph-Based KV Cache Eviction
by: Li, Xuelin, et al.
Published: (2025)
by: Li, Xuelin, et al.
Published: (2025)
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
by: Kong, Lecheng, et al.
Published: (2024)
by: Kong, Lecheng, et al.
Published: (2024)
OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
by: Zhang, Ningyu, et al.
Published: (2024)
by: Zhang, Ningyu, et al.
Published: (2024)
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
by: Xie, Zhiwen, et al.
Published: (2024)
by: Xie, Zhiwen, et al.
Published: (2024)
Beyond Fixed Length: Bucket Pre-training is All You Need
by: Yang, Qing, et al.
Published: (2024)
by: Yang, Qing, et al.
Published: (2024)
Autoproof: Automated Segmentation Proofreading for Connectomics
by: Huang, Gary B, et al.
Published: (2025)
by: Huang, Gary B, et al.
Published: (2025)
Not All Errors Are Equal: Investigation of Speech Recognition Errors in Alzheimer's Disease Detection
by: Kang, Jiawen, et al.
Published: (2024)
by: Kang, Jiawen, et al.
Published: (2024)
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation
by: Cao, Meng, et al.
Published: (2024)
by: Cao, Meng, et al.
Published: (2024)
Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation
by: Lin, Susan, et al.
Published: (2024)
by: Lin, Susan, et al.
Published: (2024)
BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation
by: Wang, Yun, et al.
Published: (2026)
by: Wang, Yun, et al.
Published: (2026)
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework
by: Liu, Xuelin, et al.
Published: (2024)
by: Liu, Xuelin, et al.
Published: (2024)
OmniCaptioner: One Captioner to Rule Them All
by: Lu, Yiting, et al.
Published: (2025)
by: Lu, Yiting, et al.
Published: (2025)
Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
by: Wang, Zijian, et al.
Published: (2025)
by: Wang, Zijian, et al.
Published: (2025)
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
by: Lin, Lei, et al.
Published: (2023)
by: Lin, Lei, et al.
Published: (2023)
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
by: Xie, Yuxuan, et al.
Published: (2024)
by: Xie, Yuxuan, et al.
Published: (2024)
Beyond One-Size-Fits-All: Personalized Harmful Content Detection with In-Context Learning
by: Zhang, Rufan, et al.
Published: (2025)
by: Zhang, Rufan, et al.
Published: (2025)
All for One and One for All: Program Logics for Exploiting Internal Determinism in Parallel Programs
by: Moine, Alexandre, et al.
Published: (2025)
by: Moine, Alexandre, et al.
Published: (2025)
Speculative Decoding for Verilog: Speed and Quality, All in One
by: Xu, Changran, et al.
Published: (2025)
by: Xu, Changran, et al.
Published: (2025)
OneLLM: One Framework to Align All Modalities with Language
by: Han, Jiaming, et al.
Published: (2023)
by: Han, Jiaming, et al.
Published: (2023)
VisualSpeech: Enhancing Prosody Modeling in TTS Using Video
by: Que, Shumin, et al.
Published: (2025)
by: Que, Shumin, et al.
Published: (2025)
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
by: Lei, Fangyu, et al.
Published: (2025)
by: Lei, Fangyu, et al.
Published: (2025)
One Model for All: Multi-Objective Controllable Language Models
by: He, Qiang, et al.
Published: (2026)
by: He, Qiang, et al.
Published: (2026)
HydraFormer: One Encoder For All Subsampling Rates
by: Xu, Yaoxun, et al.
Published: (2024)
by: Xu, Yaoxun, et al.
Published: (2024)
DSPC: Dual-Stage Progressive Compression Framework for Efficient Long-Context Reasoning
by: Gao, Yaxin, et al.
Published: (2025)
by: Gao, Yaxin, et al.
Published: (2025)
One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction
by: Liu, Ben, et al.
Published: (2025)
by: Liu, Ben, et al.
Published: (2025)
Fusion-Eval: Integrating Assistant Evaluators with LLMs
by: Shu, Lei, et al.
Published: (2023)
by: Shu, Lei, et al.
Published: (2023)
All-in-One Tuning and Structural Pruning for Domain-Specific LLMs
by: Lu, Lei, et al.
Published: (2024)
by: Lu, Lei, et al.
Published: (2024)
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
by: Krishna, Kundan, et al.
Published: (2024)
by: Krishna, Kundan, et al.
Published: (2024)
TapOut: A Bandit-Based Approach to Dynamic Speculative Decoding
by: Sridhar, Aditya, et al.
Published: (2025)
by: Sridhar, Aditya, et al.
Published: (2025)
P‐5.7: Examining Pressure‐sensitive Damping Silicone Adhesive with Excellent Cushioning Capabilities for AMOLED Display
by: Xuelin Fan, et al.
Published: (2024)
by: Xuelin Fan, et al.
Published: (2024)
Similar Items
-
Neural Search Space in Gboard Decoder
by: Zhang, Yanxiang, et al.
Published: (2024) -
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
by: Zhang, Yanxiang, et al.
Published: (2025) -
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
by: Wu, Shanshan, et al.
Published: (2024) -
No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
by: Wu, Wei-Chi, et al.
Published: (2026) -
One for All: Update Parameterized Knowledge Across Multiple Models
by: Ma, Weitao, et al.
Published: (2025)