Saved in:
| Main Authors: | Wang, Xudong, Wang, Zilong, Ming, Zhaoyan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.25928 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
by: Li, Zihan, et al.
Published: (2026)
by: Li, Zihan, et al.
Published: (2026)
Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents
by: Guo, Yuhan, et al.
Published: (2025)
by: Guo, Yuhan, et al.
Published: (2025)
CogMem: A Cognitive Memory Architecture for Sustained Multi-Turn Reasoning in Large Language Models
by: Zhang, Yiran, et al.
Published: (2025)
by: Zhang, Yiran, et al.
Published: (2025)
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025)
by: Wang, Juyuan, et al.
Published: (2025)
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
by: Lv, Yaojia, et al.
Published: (2024)
by: Lv, Yaojia, et al.
Published: (2024)
JBE-QA: Japanese Bar Exam QA Dataset for Assessing Legal Domain Knowledge
by: Cao, Zhihan, et al.
Published: (2025)
by: Cao, Zhihan, et al.
Published: (2025)
DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QA
by: Ji, Yuelyu, et al.
Published: (2025)
by: Ji, Yuelyu, et al.
Published: (2025)
CogLM: Tracking Cognitive Development of Large Language Models
by: Wang, Xinglin, et al.
Published: (2024)
by: Wang, Xinglin, et al.
Published: (2024)
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
by: Qi, Ji, et al.
Published: (2024)
by: Qi, Ji, et al.
Published: (2024)
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
by: Zhou, Yuhao, et al.
Published: (2025)
by: Zhou, Yuhao, et al.
Published: (2025)
CorpusQA: A 10 Million Token Benchmark for Corpus-Level Analysis and Reasoning
by: Lu, Zhiyuan, et al.
Published: (2026)
by: Lu, Zhiyuan, et al.
Published: (2026)
ICA-RAG: Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis
by: He, Jiawei, et al.
Published: (2025)
by: He, Jiawei, et al.
Published: (2025)
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
by: Wang, Xintong, et al.
Published: (2024)
by: Wang, Xintong, et al.
Published: (2024)
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
by: Chen, Zhuofan, et al.
Published: (2025)
by: Chen, Zhuofan, et al.
Published: (2025)
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA
by: Dong, Xuanzhao, et al.
Published: (2025)
by: Dong, Xuanzhao, et al.
Published: (2025)
Reasoning Models Ace the CFA Exams
by: Patel, Jaisal, et al.
Published: (2025)
by: Patel, Jaisal, et al.
Published: (2025)
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
by: Li, Wenwei, et al.
Published: (2026)
by: Li, Wenwei, et al.
Published: (2026)
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
by: Liu, Zihan, et al.
Published: (2024)
by: Liu, Zihan, et al.
Published: (2024)
MulCogBench: A Multi-modal Cognitive Benchmark Dataset for Evaluating Chinese and English Computational Language Models
by: Zhang, Yunhao, et al.
Published: (2024)
by: Zhang, Yunhao, et al.
Published: (2024)
AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation
by: Huang, Tiancheng, et al.
Published: (2025)
by: Huang, Tiancheng, et al.
Published: (2025)
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA
by: Chen, Xinyue, et al.
Published: (2024)
by: Chen, Xinyue, et al.
Published: (2024)
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA
by: Xu, Haozhou, et al.
Published: (2025)
by: Xu, Haozhou, et al.
Published: (2025)
DO-RAG: A Domain-Specific QA Framework Using Knowledge Graph-Enhanced Retrieval-Augmented Generation
by: Opoku, David Osei, et al.
Published: (2025)
by: Opoku, David Osei, et al.
Published: (2025)
DIAGRAMS: A Review Framework for Reasoning-Level Attribution in Diagram QA
by: Iyengar, Anirudh Iyengar Kaniyar Narayana, et al.
Published: (2026)
by: Iyengar, Anirudh Iyengar Kaniyar Narayana, et al.
Published: (2026)
Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models
by: Ju, Li, et al.
Published: (2026)
by: Ju, Li, et al.
Published: (2026)
What Makes a Medical Checker Trainable? Diagnosing Signal Collapse and Reward Hacking in Checker-Guided RAG for Biomedical QA
by: Ji, Yuelyu, et al.
Published: (2026)
by: Ji, Yuelyu, et al.
Published: (2026)
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
by: Han, Rujun, et al.
Published: (2024)
by: Han, Rujun, et al.
Published: (2024)
Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
by: Xiong, Kai, et al.
Published: (2024)
by: Xiong, Kai, et al.
Published: (2024)
EnronQA: Towards Personalized RAG over Private Documents
by: Ryan, Michael J., et al.
Published: (2025)
by: Ryan, Michael J., et al.
Published: (2025)
KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
by: Zheng, Tianshi, et al.
Published: (2024)
by: Zheng, Tianshi, et al.
Published: (2024)
CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards
by: Liu, Cheng, et al.
Published: (2025)
by: Liu, Cheng, et al.
Published: (2025)
RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning
by: Li, Kun, et al.
Published: (2025)
by: Li, Kun, et al.
Published: (2025)
Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia
by: Koto, Fajri
Published: (2024)
by: Koto, Fajri
Published: (2024)
MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
by: Zuo, Yuxin, et al.
Published: (2025)
by: Zuo, Yuxin, et al.
Published: (2025)
The Reasoning Bottleneck in Graph-RAG: Structured Prompting and Context Compression for Multi-Hop QA
by: Zarrinkia, Yasaman, et al.
Published: (2026)
by: Zarrinkia, Yasaman, et al.
Published: (2026)
Understand Then Memory: A Cognitive Gist-Driven RAG Framework with Global Semantic Diffusion
by: Zhou, Pengcheng, et al.
Published: (2026)
by: Zhou, Pengcheng, et al.
Published: (2026)
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)
LMCD: Language Models are Zeroshot Cognitive Diagnosis Learners
by: He, Yu, et al.
Published: (2025)
by: He, Yu, et al.
Published: (2025)
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset
by: Pahilajani, Anish, et al.
Published: (2024)
by: Pahilajani, Anish, et al.
Published: (2024)
Similar Items
-
MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
by: Li, Zihan, et al.
Published: (2026) -
Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents
by: Guo, Yuhan, et al.
Published: (2025) -
CogMem: A Cognitive Memory Architecture for Sustained Multi-Turn Reasoning in Large Language Models
by: Zhang, Yiran, et al.
Published: (2025) -
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
by: Wang, Juyuan, et al.
Published: (2025) -
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
by: Lv, Yaojia, et al.
Published: (2024)