:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hu, Kaiqi, Xiao, Linda, Xu, Shiyue, Tang, Ziyi, Liu, Mingwen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2604.12659
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
by: Mohanty, Shaswat
Published: (2026)

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
by: Zeng, Zhiyuan, et al.
Published: (2025)

Do Multilingual VLMs Reason Equally? A Cross-Lingual Visual Reasoning Audit for Indian Languages
by: R, Swastik
Published: (2026)

Race, Ethnicity and Their Implication on Bias in Large Language Models
by: Hu, Shiyue, et al.
Published: (2026)

Natural Language Processing and Multimodal Stock Price Prediction
by: Taylor, Kevin, et al.
Published: (2024)

MiMIC: Multi-Modal Indian Earnings Calls Dataset to Predict Stock Prices
by: Ghosh, Sohom, et al.
Published: (2025)

Generalized Stock Price Prediction for Multiple Stocks Combined with News Fusion
by: Liao, Pei-Jun, et al.
Published: (2026)

A Hybrid Deep Learning Framework for Stock Price Prediction Considering the Investor Sentiment of Online Forum Enhanced by Popularity
by: Li, Huiyu, et al.
Published: (2024)

Do Large Language Models Truly Grasp Mathematics? An Empirical Exploration From Cognitive Psychology
by: Xie, Wei, et al.
Published: (2024)

Aha Moment Revisited: Are VLMs Truly Capable of Self Verification in Inference-time Scaling?
by: Wu, Mingyuan, et al.
Published: (2025)

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
by: Naous, Tarek, et al.
Published: (2023)

PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
by: Nasiriany, Soroush, et al.
Published: (2024)

Does Machine Unlearning Truly Remove Knowledge?
by: Chen, Haokun, et al.
Published: (2025)

Measuring Visual Understanding in Telecom domain: Performance Metrics for Image-to-UML conversion using VLMs
by: Ranjani, HG, et al.
Published: (2025)

MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
by: Zhang, Renrui, et al.
Published: (2024)

CroissantLLM: A Truly Bilingual French-English Language Model
by: Faysse, Manuel, et al.
Published: (2024)

News Sentiment Embeddings for Stock Price Forecasting
by: Qayyum, Ayaan
Published: (2025)

nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales
by: Yao, Yiqun, et al.
Published: (2023)

Manager: Aggregating Insights from Unimodal Experts in Two-Tower VLMs and MLLMs
by: Xu, Xiao, et al.
Published: (2025)

Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
by: Qiu, Xiangfei, et al.
Published: (2025)

A Truly Joint Neural Architecture for Segmentation and Parsing
by: Levi, Danit Yshaayahu, et al.
Published: (2024)

SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?
by: Lu, Xudong, et al.
Published: (2025)

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
by: Shi, Chengshuai, et al.
Published: (2026)

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
by: Chen, Yanxu, et al.
Published: (2025)

Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models
by: Liu, Zhining, et al.
Published: (2026)

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
by: Doshi, Jai, et al.
Published: (2024)

Decoding AI Authorship: Can LLMs Truly Mimic Human Style Across Literature and Politics?
by: Alsadhan, Nasser A
Published: (2026)

Do Large Language Model Benchmarks Test Reliability?
by: Vendrow, Joshua, et al.
Published: (2025)

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities
by: Karger, Ezra, et al.
Published: (2024)

Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
by: Pan, Zhiyu, et al.
Published: (2026)

Do Not Waste Your Rollouts: Recycling Search Experience for Efficient Test-Time Scaling
by: Wang, Xinglin, et al.
Published: (2026)

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?
by: Jedidi, Nour, et al.
Published: (2025)

MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
by: Zhu, Yinghao, et al.
Published: (2025)

Real-Time Online Stock Forecasting Utilizing Integrated Quantitative and Qualitative Analysis
by: Bathini, Sai Akash, et al.
Published: (2023)

ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)

Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
by: Wang, Shouren, et al.
Published: (2025)

Safe Reinforcement Learning with Free-form Natural Language Constraints and Pre-Trained Language Models
by: Lou, Xingzhou, et al.
Published: (2024)

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
by: Karamcheti, Siddharth, et al.
Published: (2024)

Glyph: Scaling Context Windows via Visual-Text Compression
by: Cheng, Jiale, et al.
Published: (2025)

WEBSERV: A Full-Stack and RL-Ready Web Environment for Training Web Agents at Scale
by: Lu, Yuxuan, et al.
Published: (2025)