SkillAudit: From Fixed-Suite Benchmarking to Skill-Centered Assessment
Dexu Yu, Youhua Li, et al.arXiv preprint · 2026LLMAgent
Papers
Publications from the DeciLix Lab collective on agents, large language models, recommender systems, and finance.
31 papers
GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning
Yanyan Wu, Boyi Zhang, et al.arXiv preprint · 2026LLMFinanceRL
Benchmarking Multimodal Large Language Models for Missing Modality Completion in Product Catalogues
J Fu, W Deng, et al.arXiv preprint · 2026LLMCV
Bridging NIP and MLM: A Unified Meta-Learning Framework for Sequential Recommendation
Y Li, E Ni, et al.ACM TKDD · 2026RecSys
EVE-Bench: Entropy-Guided Benchmarking and Evaluation for Frontier Video Generation Models
Nai-Xin Zhai, Qingyuan Hong, et al.NeurIPS 2026 Evaluations and Datasets Track Submission · 2026Under reviewCV
From Proxy IV to Generative IV: Causal Inference via Latent Structure Learning
Yongxin Ni, Zhiqiang Zheng, et al.NeurIPS 2026 Conference Desk Rejected Submission · 2026Desk rejectedTheory
Interpretable Knowledge Tracing via Explicit-Implicit Alignment
E Ni, J Wang, et al.Knowledge-Based Systems · 2026Theory
Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts
H Du, Y Dong, et al.ICLR 2026 · 2026LLM
LLMPopcorn: Exploring LLMs as Assistants for Popular Micro-Video Generation
J Fu, X Ge, et al.ICASSP 2026 · 2026LLMCV
On the Role of Language Representations in Auto-Bidding: Findings and Implications
G Zhu, J Luan, et al.arXiv preprint · 2026LLMFinance
PhysicsMind: Sim and Real Mechanics Benchmarking for Physical Reasoning and Prediction in Foundational VLMs and World Models
CW Mak, G Zhu, et al.arXiv preprint · 2026CVLLM
Token Bayesian Optimization: Reasoning LLMs Think Better with the Right Length
W Cheng, Y Wu, et al.ICLR 2026 Rejected Submission · 2026Desk rejectedLLM
AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing
L Sun, Z Yuan, et al.CIKM 2025 · 2025Theory
Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation
Z Zhuang, H Du, et al.WWW 2025 · 2025RecSys
ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting
J Liu, E Huang, et al.IEEE ICME 2025 · 2025CV
Crossan: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation
J Fu, Y Ni, et al.arXiv preprint · 2025RecSysLLM
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
J Fu, X Ge, et al.IEEE TKDE · 2025RecSysLLM
Frequency-Decoupled Distillation for Efficient Multimodal Recommendation
Z Zhuang, H Li, et al.CIKM 2025 · 2025RecSys
Machine Behaviorism: Exploring the Behavioral Dynamics of Large Language Models in Decision Making
Y Ni, T Xu, et al.HICSS 2025 · 2025LLMTheory
Mitigating Data Sparsity with Self-Supervised Contrastive Diffusion for Mamba-based Sequential Recommendation
Jiayang Wang, Yihan Liu, et al.ACMMM 2025 Conference Desk Rejected Submission · 2025Desk rejectedRecSys
PGT-PO: Plackett-Gumbel-Triplet Enhanced LLM for Preference Optimization in Machine Translation
Ningyuan Deng, Jiaqi Zhang, et al.ACL ARR 2025 February Withdrawn Submission · 2025WithdrawnLLMNLP
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
H Du, B Peng, et al.NAACL 2025 · 2025RecSysLLMAgent
SOLAR: Serendipity Optimized Language Model Aligned for Recommendation
Z Yuan, L Sun, et al.Findings of EMNLP 2025 · 2025LLMRecSys
Teach Me How to Denoise: A Universal Framework for Denoising Multi-Modal Recommender Systems via Guided Calibration
H Li, H Du, et al.WSDM 2025 · 2025RecSys
Uncertainty-Aware Knowledge Tracing
W Cheng, H Du, et al.AAAI 2025 · 2025Theory
A Comprehensive Review of Community Detection in Graphs
J Li, S Lai, et al.Neurocomputing 600, 128169 · 2024Theory
An Empirical Study of Training ID-Agnostic Multi-Modal Sequential Recommenders
Y Li, H Du, et al.arXiv preprint · 2024RecSys
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation
H Du, H Yuan, et al.SIGIR 2023 · 2023RecSys
Feature-Aware Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
H Du, H Yuan, et al.IEEE TKDE 36 (12), 8192-8205 · 2023RecSys
Sequential Recommendation with Diffusion Models
H Du, H Yuan, et al.arXiv preprint · 2023RecSys
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
H Du, H Shi, et al.CIKM 2022 · 2022RecSys