A. Lưu

Survey Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models

MMDynOpt-Agent: Dynamic Optimization for Multimodal Large Language Model Reasoning via Reinforcement Learning

MMDynOpt-Agent is a lightweight multimodal agent that models the dynamic optimization of multimodal reasoning as a Markov decision process via end-to-end reinforcement learning, designed to reduce the cost of multimodal reasoning.

TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting

TIEM, a timestamp-gated framework with three coordinated components: an Event-Evidence Hypergraph (EEH) for timestamp-filtered multi-tier retrieval; a Case-based Skill Memory (CSM) for source-tagged temporal skills; and Heterogeneous Evidence-Experience Fusion Reasoning (HEFR) for evidence-experience fusion and prediction.

Towards Fast and Accurate Modeling for Cross-Lingual Label Projection

This work proposes to synthesize alignment sequence pairs and fine-tune an encoder model with span alignment objective and introduces EXP - the first benchmark for explicit evaluation of label projection, thereby reducing confounders and non-determinism in method assessment.