Research Papers Explained

AC comment and our reply disappeared on OpenReview [D]

Comparing embedding models with synthetic query probing [R]

These startups are chasing the next big thing in LLMs

EntropyMoE: Entropy-Aware Sparse Expert Routing for Tokenizer-Free LLMs

NxN E-valuation: Hypothesis Certification via a Conformal CRT Null

MolBioKG: Grounding Out-of-Graph Molecules in Biomedical Knowledge Graphs via Multi-Resolution Structural Anchoring

Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence

LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting

Surg-UniWorld: A Unified Surgical World Model with Multimodal Control Experts

CEDAR: Agent-Orchestrated Tree Search for Goal-Directed Optimization of Complex Systems

SkillEval: Decomposing Agent Skill Quality into Interpretable Signals

From Points to Edges: Edge-Conditioned Spectral Operators for Physics-Sensitive PDE Learning

ReGraph: Learning to Generate Recipe Graphs from Food Images

TRIBE: Predicting Team Performance via Communication Behavior Ensembles

Science Edge Evaluation: SEE the Missing Step Toward Real Scientific Discovery

Blind to the Pivotal Vote: Aggregate Independence Metrics Miss Where Verification Actually Helps

CAi Copilot: Reducing Operational Workload in Molecular Design through Intent-Driven Agentic Workflows

Learning in Deep Networks under Dale's Constraint

Finding Usable Weight Mechanisms with Tiled SVD

FedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

ZIPBrain: Can EEG Foundation Models Be Faster, Locally Deployable, but Accurate?

Not All Problems Are Best Modeled as MILP: A DSL-Centric Framework for Flexible and Accurate Optimization Modeling

BONSAI: Evolvability-Guided Tree Search over Skills

PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding

Transformers Struggle to Use Their Emergent World Models: Revisiting the Tower of Hanoi, and the Illusion of Thinking

MemWM: Memory-Augmented Text-Based World Model

How Much, Then Where: Credit-Conserving Action-to-Token Allocation for Multi-Turn Agent Reinforcement Learning

DiDPO: Diff-in-Diff Policy Optimization for Coding Agent Training

SetEasy: A Multi-Modal Classroom Engagement Assessment and Seating Optimization Framework

Authoring and Management of Transparent Research Integrity Assessments of Randomised Clinical Trial Publications Using LLM-assisted Tools and Provenance Knowledge Graphs

Beyond the Black Box: Interpretable Models of Human Randomisation Failures

From probability to causality in probabilistic logic programming

WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN

Winning by Peeking: Unenforced Budgets and Test-Set Selection Inflate Short-Budget AutoML Comparisons

QFCQT: A Chaotically Gated Quantformer Framework for Volatile Time-Series Forecasting

Curriculum as Code: An AI-Assisted Architecture for Instructional Design in STEM Education

FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings

GeoBenchLLM: A Comprehensive Benchmark for Evaluating LLMs on Geo-Related Tasks

CoBa: Cost-Effective Test-Time Scaling via Compute-Balanced Routing

TEPA: Revoking Stale Memories for Conflict-Robust Language Agents

Post-Grokking Collapse at the Representation-Readout Interface in Muon-Trained Transformers

PsychoAgent: An Affect-Sensitive Cognitive Architecture for Conflict-Aware Memory in LLM Agents

Blast Radius

SkillProx: Self-Evolving Agent Skills via Proximal Textual Gradient Descent

Interaction Creates Dynamical AI Behavior Absent in Isolation

Multimodal Drivers' Emotion Recognition and Safety-Oriented Intervention for Intelligent Transportation Systems

Mobile Interaction for Assessing Fatigue, Sleep, and Activity in Neurodegenerative and Chronic Diseases