Saved in:
| Main Authors: | He, Yu, Yao, Zihan, Song, Chentao, Qi, Tianyu, Liu, Jun, Li, Ming, Huang, Qing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.21239 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Model Editing via Customized Expert Networks
by: Yao, Zihan, et al.
Published: (2024)
by: Yao, Zihan, et al.
Published: (2024)
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
by: Tu, Zeao, et al.
Published: (2024)
by: Tu, Zeao, et al.
Published: (2024)
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)
by: Liu, Yuanhao, et al.
Published: (2026)
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025)
by: Liu, Shuo, et al.
Published: (2025)
Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)
by: Li, Jiatong, et al.
Published: (2024)
Real World Conversational Entity Linking Requires More Than Zeroshots
by: Hoveyda, Mohanna, et al.
Published: (2024)
by: Hoveyda, Mohanna, et al.
Published: (2024)
Hybrid and Unitary PEFT for Resource-Efficient Large Language Models
by: Qi, Haomin, et al.
Published: (2025)
by: Qi, Haomin, et al.
Published: (2025)
Are Large Language Models Possible to Conduct Cognitive Behavioral Therapy?
by: Shen, Hao, et al.
Published: (2024)
by: Shen, Hao, et al.
Published: (2024)
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
by: Qi, Haomin, et al.
Published: (2025)
by: Qi, Haomin, et al.
Published: (2025)
Bridging Cognition and Emotion: Empathy-Driven Multimodal Misinformation Detection
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
by: Zhang, Weiming, et al.
Published: (2025)
by: Zhang, Weiming, et al.
Published: (2025)
AI-Enhanced Cognitive Behavioral Therapy: Deep Learning and Large Language Models for Extracting Cognitive Pathways from Social Media Texts
by: Jiang, Meng, et al.
Published: (2024)
by: Jiang, Meng, et al.
Published: (2024)
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
by: Liao, Zihan, et al.
Published: (2024)
by: Liao, Zihan, et al.
Published: (2024)
MiMo-Audio: Audio Language Models are Few-Shot Learners
by: Core Team, et al.
Published: (2025)
by: Core Team, et al.
Published: (2025)
Instruction Pre-Training: Language Models are Supervised Multitask Learners
by: Cheng, Daixuan, et al.
Published: (2024)
by: Cheng, Daixuan, et al.
Published: (2024)
Cognitive Policy-Driven LLM for Diagnosis and Intervention of Cognitive Distortions in Emotional Support Conversation
by: Zhong, Lin, et al.
Published: (2026)
by: Zhong, Lin, et al.
Published: (2026)
Focused Large Language Models are Stable Many-Shot Learners
by: Yuan, Peiwen, et al.
Published: (2024)
by: Yuan, Peiwen, et al.
Published: (2024)
Social Life Simulation for Non-Cognitive Skills Learning
by: Yan, Zihan, et al.
Published: (2024)
by: Yan, Zihan, et al.
Published: (2024)
YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learners' Perspectives
by: Ming, Nong, et al.
Published: (2025)
by: Ming, Nong, et al.
Published: (2025)
SimulBench: Evaluating Language Models with Creative Simulation Tasks
by: Jia, Qi, et al.
Published: (2024)
by: Jia, Qi, et al.
Published: (2024)
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
by: Liao, Zihan, et al.
Published: (2024)
by: Liao, Zihan, et al.
Published: (2024)
Language Models are Symbolic Learners in Arithmetic
by: Deng, Chunyuan, et al.
Published: (2024)
by: Deng, Chunyuan, et al.
Published: (2024)
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility
by: He, Yexiao, et al.
Published: (2025)
by: He, Yexiao, et al.
Published: (2025)
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints
by: Song, Ran, et al.
Published: (2024)
by: Song, Ran, et al.
Published: (2024)
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
by: Qi, Hongzhi, et al.
Published: (2023)
by: Qi, Hongzhi, et al.
Published: (2023)
Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
by: Wang, Teng, et al.
Published: (2024)
by: Wang, Teng, et al.
Published: (2024)
TAIA: Large Language Models are Out-of-Distribution Data Learners
by: Jiang, Shuyang, et al.
Published: (2024)
by: Jiang, Shuyang, et al.
Published: (2024)
Modeling Multi-Dimensional Cognitive States in Large Language Models under Cognitive Crowding
by: Zhong, Lin, et al.
Published: (2026)
by: Zhong, Lin, et al.
Published: (2026)
A Specialized Large Language Model for Clinical Reasoning and Diagnosis in Rare Diseases
by: Yang, Tao, et al.
Published: (2025)
by: Yang, Tao, et al.
Published: (2025)
Self-Adaptive Cognitive Debiasing for Large Language Models in Decision-Making
by: Lyu, Yougang, et al.
Published: (2025)
by: Lyu, Yougang, et al.
Published: (2025)
TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models
by: Yu, Ping, et al.
Published: (2024)
by: Yu, Ping, et al.
Published: (2024)
Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer's Disease Assessment and Diagnosis
by: Zhang, Tongze, et al.
Published: (2026)
by: Zhang, Tongze, et al.
Published: (2026)
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
by: Zhao, Zekai, et al.
Published: (2025)
by: Zhao, Zekai, et al.
Published: (2025)
Purifying Large Language Models by Ensembling a Small Language Model
by: Li, Tianlin, et al.
Published: (2024)
by: Li, Tianlin, et al.
Published: (2024)
Seal: Advancing Speech Language Models to be Few-Shot Learners
by: Lei, Shuyu, et al.
Published: (2024)
by: Lei, Shuyu, et al.
Published: (2024)
Are Large Language Models Good Temporal Graph Learners?
by: Huang, Shenyang, et al.
Published: (2025)
by: Huang, Shenyang, et al.
Published: (2025)
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition
by: Liu, Yuxuan, et al.
Published: (2024)
by: Liu, Yuxuan, et al.
Published: (2024)
What Makes Diffusion Language Models Super Data Learners?
by: Gao, Zitian, et al.
Published: (2025)
by: Gao, Zitian, et al.
Published: (2025)
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning
by: Zhao, Jun, et al.
Published: (2024)
by: Zhao, Jun, et al.
Published: (2024)
Similar Items
-
Scalable Model Editing via Customized Expert Networks
by: Yao, Zihan, et al.
Published: (2024) -
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
by: Tu, Zeao, et al.
Published: (2024) -
Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026) -
Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis
by: Liu, Shuo, et al.
Published: (2025) -
Large Language Models are In-Context Molecule Learners
by: Li, Jiatong, et al.
Published: (2024)