:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiayi, Wu, Chen, Zhang, Shaoqun, Li, Nan, Zhang, Liangjie, Zhang, Qi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2411.15438
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TernaryCLIP: Efficiently Compressing Vision-Language Models with Ternary Weights and Distilled Knowledge
by: Zhang, Shu-Hao, et al.
Published: (2025)

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning
by: Zhao, Yuze, et al.
Published: (2024)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
by: Liu, Qi, et al.
Published: (2024)

Refining the Use of the Web (and Web Search) as a Language Teaching and Learning Resource
by: Wu, Shaoqun, et al.
Published: (2009)

Utilizing Lexical Data from a Web-Derived Corpus to Expand Productive Collocation Knowledge
by: Wu, Shaoqun, et al.
Published: (2010)

Examining the Robustness of Large Language Models across Language Complexity
by: Zhang, Jiayi
Published: (2025)

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models
by: Merrick, Luke, et al.
Published: (2024)

Investigating an Open Methodology for Designing Domain-Specific Language Collections
by: Fitzgerald, Alannah, et al.
Published: (2014)

Efficient Sequential Decision Making with Large Language Models
by: Chen, Dingyang, et al.
Published: (2024)

Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
by: Huang, Liangjie, et al.
Published: (2025)

ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

Robust and Scalable Model Editing for Large Language Models
by: Chen, Yingfa, et al.
Published: (2024)

Scalable Environments Drive Generalizable Agents
by: Zhang, Jiayi, et al.
Published: (2026)

WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
by: Li, Kuan, et al.
Published: (2025)

LANTERN: Scalable Distillation of Large Language Models for Job-Person Fit and Explanation
by: Fu, Zhoutong, et al.
Published: (2025)

ConfClip: Confidence-Weighted and Clipped Reward for Reinforcement Learning in LLMs
by: Zhang, Bonan, et al.
Published: (2025)

LongEmbed: Extending Embedding Models for Long Context Retrieval
by: Zhu, Dawei, et al.
Published: (2024)

Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding
by: Chen, Xin, et al.
Published: (2021)

Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging
by: Lyu, Mengxian, et al.
Published: (2026)

Making Large Language Models Perform Better in Knowledge Graph Completion
by: Zhang, Yichi, et al.
Published: (2023)

Supporting Collocation Learning with a Digital Library
by: Wu, Shaoqun, et al.
Published: (2010)

Bridging Passive and Active: Enhancing Conversation Starter Recommendation via Active Expression Modeling
by: Wu, Yiqing, et al.
Published: (2026)

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
by: Sui, Yang, et al.
Published: (2025)

Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
by: Jiang, Nan, et al.
Published: (2024)

Confidence Before Answering: A Paradigm Shift for Efficient LLM Uncertainty Estimation
by: Li, Changcheng, et al.
Published: (2026)

F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
by: Zhang, Ziyin, et al.
Published: (2026)

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection
by: Li, Haoling, et al.
Published: (2024)

CEO: Corpus-based Open-Domain Event Ontology Induction
by: Xu, Nan, et al.
Published: (2023)

EmbedGrad: Gradient-Based Prompt Optimization in Embedding Space for Large Language Models
by: Hou, Xiaoming, et al.
Published: (2025)

ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
by: Zhang, Ziyin, et al.
Published: (2026)

Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
by: Zhang, Bowen, et al.
Published: (2024)

Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks
by: Liu, Ziwei, et al.
Published: (2025)

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
by: Wang, Chengsen, et al.
Published: (2024)

Robust Asynchronous Planning via Auto-Formalization
by: Zhang, Jiayi, et al.
Published: (2026)

R2Q: Towards Robust 2-Bit Large Language Models via Residual Refinement Quantization
by: Chen, Jiayi, et al.
Published: (2025)

Spec-LLaVA: Accelerating Vision-Language Models with Dynamic Tree-Based Speculative Decoding
by: Huo, Mingxiao, et al.
Published: (2025)

Query Performance Explanation through Large Language Model for HTAP Systems
by: Xiu, Haibo, et al.
Published: (2024)

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
by: Zhang, Yanzhao, et al.
Published: (2025)

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick
by: Fu, Jiayi, et al.
Published: (2024)

When Do LLM Agents Treat Surface Noise Differently from Semantic Noise? A 68-Cell Measurement Study with a Held-Out Trace-Level Validation
by: Zhang, Liyun, et al.
Published: (2026)