most citedA Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers

2 citations · 4 across the 10 of their papers we have counts for

collaborators

15 papers

cs.LG2026

ProtocolMatch: Protocol-Dependent Model Selection for Scientific Dynamics Forecasting

Lu Wei, Yufeng Wang, Haibin Ling

Scientific dynamics forecasting is often framed as an architecture choice, although deployment is also determined by observed history, rollout feedback, compute budget, physical ob…

cs.CL2026★ 2 cited

A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers

Nadhem Zmandar, Mo El-Haj, Paul Rayson

There are more than 2,000 listed companies on the UK's London Stock Exchange, divided into 11 sectors who are required to communicate their financial results at least twice in a si…

cs.LG2026

Apparent Compression, Real Stability: The Intrinsic Dimension of Learning a Quantum Wavefunction

Lu Wei, Yufeng Wang, Chenfeng Cao +1

How many directions in weight space does training need? The intrinsic dimension answers this with the smallest number of random directions in which training still reaches a target…

cs.LG2026

AG-CoT: Verified Algorithmic Traces for LLM Program Synthesis on Clifford Circuits

Lu Wei, Yufeng Wang, Chenfeng Cao +2

Scientific code generation can produce executable programs that fail to compute the intended scientific object. We study this problem in language-model synthesis of Clifford circui…

cs.LG2026

Stable and Counterfactually Robust Physical World Models from Imposed Structure and Learned Physics

Yufeng Wang, Parivesh Priye, Lu Wei +1

A world model learns to forecast how a physical system evolves from recorded trajectories, yet the systems it imitates obey physical laws that are neither fully supplied nor reliab…

cs.LG2026

Available Guardrails: Certifying Selective Prediction across ML Systems

Parivesh Priye, Yufeng Wang, Haibin Ling +1

A selective predictor acts as a safety gate: it returns an output only when the prediction appears sufficiently trustworthy. Deployments increasingly require this reliability to be…

cs.LG2026

Conservation Buys Stability and Factoring Buys Counterfactuals in Physical World Models

Yufeng Wang, Parivesh Priye, Lu Wei +1

A learned simulator can reproduce its training conditions accurately yet fail in two distinct ways once those conditions change. Over long rollouts, small errors accumulate until t…

cs.AI2026

Grounding Spatial Relations in a Compact World Model: Instruction Leakage and a Goal-Free Dynamics Fix

Yufeng Wang, Lu Wei, Haibin Ling

Compact world models that condition on a language goal promise to ground relations such as ``put the red block left of the blue block'' using a sparse set of explicit \emph{referen…

cs.CE2026

Conservative Discrete Structure Stabilizes Autoregressive Rollouts in a 1D Drift Diffusion Poisson Benchmark

Yufeng Wang, Lu Wei, Haibin Ling

Learned plasma transport surrogates can match short horizon states while failing over long rollouts because charge accounting, density admissibility, and Poisson compatible field r…

cs.CL2026

How well can off-the-shelf LLMs elucidate molecular structures from mass spectra using chain-of-thought reasoning?

Yufeng Wang, Lu Wei, Lin Liu +2

Mass spectrometry (MS) is a powerful analytical technique for identifying small molecules, yet determining complete molecular structures directly from tandem mass spectra (MS/MS) r…

cs.CL2025

Retrieval as a Decision: Training-Free Adaptive Gating for Efficient RAG

Yufeng Wang, Lu wei, Haibin Ling

Retrieval-Augmented Generation (RAG) improves factuality but retrieving for every query often hurts quality while inflating tokens and latency. We propose Training-free Adaptive Re…

cs.CV2025

SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization

Peiyao Wang, Haibin Ling

Spatial reasoning remains a critical yet underdeveloped capability in existing vision-language models (VLMs), especially for Spatial Visual Question Answering (Spatial VQA) tasks t…

cs.LG2025★ 1 cited

Spectra-to-Structure and Structure-to-Spectra Inference Across the Periodic Table

Yufeng Wang, Peiyao Wang, Lu Wei +4

X-ray Absorption Spectroscopy (XAS) is a powerful technique for probing local atomic environments, yet its interpretation remains limited by the need for expert-driven analysis, co…

q-bio.BM2025

XDIP: A Curated X-ray Absorption Spectrum Dataset for Iron-Containing Proteins

Yufeng Wang, Peiyao Wang, Lu Wei +6

Earth-abundant iron is an essential metal in regulating the structure and function of proteins. This study presents the development of a comprehensive X-ray Absorption Spectroscopy…

quant-ph2025★ 1 cited

Variational Transformer Ansatz for the Density Operator of Steady States in Dissipative Quantum Many-Body Systems

Lu Wei, Zhian Jia, Yufeng Wang +2

The transformer architecture, known for capturing long-range dependencies and intricate patterns, has extended beyond natural language processing. Recently, it has attracted signif…