Sep 28, 2026
UQ-LOB: Uncertainty-Aware Limit Order Book Mid-Price Forecasting
What the paper is about Forecasting short-horizon mid-price movements from limit order book (LOB) data is central to algorithmic trading, yet most deep LOB f...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Sep 28, 2026
Compress What You See, Not What You Say: Anchored Context Distillation for Latent-Observation Software Engineering Agents
What the paper is about Tool observations dominate the context of software-engineering agents, making long interaction histories costly to maintain.
Sep 28, 2026
Game Arena: Strategic LLM Evaluation in Competitive Environments
What the paper is about We introduce Kaggle Game Arena, an open and ever-expanding platform to evaluate large language models (LLMs) through competitive game...
Sep 28, 2026
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
What the paper is about Multi-agent LLM systems are often expected to improve as team size increases, yet the scaling behavior may depend on task structure.
Sep 28, 2026
"AI is (not) the new...": A Diagnostic Analogy Framework for Generative AI's Cultural Impacts
What the paper is about Generative AI is reshaping the cultural infrastructures through which knowledge is found, synthesized, and held accountable.
Sep 28, 2026
DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education
What the paper is about AI tutoring could markedly improve learning outcomes for students in developing regions such as Vietnam, yet the two obvious paths bo...
Sep 28, 2026
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
What the paper is about Reasoning models often generate very long reasoning traces, making inference computationally expensive.
Sep 28, 2026
A Flow Matching Framework for Neural Representational Dissimilarity
What the paper is about Neural representational dissimilarity quantifies differences between neural response distributions, and is essential for comparing ne...
Sep 28, 2026
Prompt Minimization: Reducing Input Redundancy Without Sacrificing Output Fidelity
What the paper is about Despite the growing capabilities of large language models (LLMs), prompt design remains largely heuristic and ad hoc.
Sep 28, 2026
Segment-Level Agentic Topic Modeling for Improved Data Exploration and Resource Efficiency
What the paper is about Topic modeling is an effective technique for discovering hidden themes within documents and is widely used in text mining and data an...
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