:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Peng, Keqin, Ding, Liang, Ouyang, Yuanxin, Fang, Meng, Yuan, Yancheng, Tao, Dacheng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2502.13738
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Revisiting Demonstration Selection Strategies in In-Context Learning
by: Peng, Keqin, et al.
Published: (2024)

Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt
by: Peng, Keqin, et al.
Published: (2025)

Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning
by: Peng, Keqin, et al.
Published: (2026)

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
by: Xu, Ziyang, et al.
Published: (2024)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
by: Zhong, Qihuang, et al.
Published: (2024)

Revisiting Catastrophic Forgetting in Large Language Model Tuning
by: Li, Hongyu, et al.
Published: (2024)

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
by: Liu, Boan, et al.
Published: (2023)

Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition
by: Shou, Yuntao, et al.
Published: (2023)

A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation
by: Zhang, Yiping, et al.
Published: (2024)

A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning
by: Ai, Wei, et al.
Published: (2024)

SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation
by: Meng, Tao, et al.
Published: (2024)

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation
by: Cai, Shizhan, et al.
Published: (2025)

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
by: Zhong, Qihuang, et al.
Published: (2022)

Contrastive Multi-graph Learning with Neighbor Hierarchical Sifting for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)

Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification
by: Ai, Wei, et al.
Published: (2024)

LPC-SM: Local Predictive Coding and Sparse Memory for Long-Context Language Modeling
by: Xie, Keqin
Published: (2026)

Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing
by: Wu, Yuchen, et al.
Published: (2025)

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
by: Wu, Yuchen, et al.
Published: (2025)

Intention Analysis Makes LLMs A Good Jailbreak Defender
by: Zhang, Yuqi, et al.
Published: (2024)

Speculative Contrastive Decoding
by: Yuan, Hongyi, et al.
Published: (2023)

Label-template based Few-Shot Text Classification with Contrastive Learning
by: Hou, Guanghua, et al.
Published: (2024)

Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion
by: Shou, Yuntao, et al.
Published: (2024)

Uncertainty Aware Learning for Language Model Alignment
by: Wang, Yikun, et al.
Published: (2024)

Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey
by: Shou, Yuntao, et al.
Published: (2025)

Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation
by: Shou, Yuntao, et al.
Published: (2024)

Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
by: Wu, Yuchen, et al.
Published: (2025)

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models
by: Rao, Jun, et al.
Published: (2024)

MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators
by: Lu, Qingyu, et al.
Published: (2024)

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
by: Zhong, Qihuang, et al.
Published: (2022)

The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
by: Lu, Qingyu, et al.
Published: (2026)

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation
by: Ren, Zhiyao, et al.
Published: (2024)

GeometryZero: Advancing Geometry Solving via Group Contrastive Policy Optimization
by: Wang, Yikun, et al.
Published: (2025)

Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
by: Zhong, Qihuang, et al.
Published: (2024)

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
by: Liu, Fuxiao, et al.
Published: (2023)

SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion Recognition
by: Fu, Fangze, et al.
Published: (2024)

Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
by: Deng, Yimin, et al.
Published: (2024)

Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
by: Kim, Youna, et al.
Published: (2024)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
by: Wang, Xintong, et al.
Published: (2024)

OWL: Overcoming Window Length-Dependence in Speculative Decoding for Long-Context Inputs
by: Lee, Jaeseong, et al.
Published: (2025)