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Memory operations, including retrieval, prioritization, compaction awareness, should be native and baked into the harness. 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐭…

Memory operations, including retrieval, prioritization, compaction awareness, should be native and baked into the harness. 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐭𝐡𝐞 𝐩𝐫𝐨𝐩𝐞𝐫 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐡𝐚𝐫𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐦𝐞𝐦𝐨𝐫𝐲, 𝐦𝐞𝐦𝐨𝐫𝐲 𝐚𝐥𝐨𝐧𝐞 𝐢𝐬 𝐩𝐨

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13 Apr 2026

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Solver-Independent Automated Problem Formulation via LLMs for High-Cost Simulation-Driven Design

StreamServe: Adaptive Speculative Flows for Low-Latency Disaggregated LLM Serving

SwinTextUNet: Integrating CLIP-Based Text Guidance into Swin Transformer U-Nets for Medical Image Segmentation

Tessera: Unlocking Heterogeneous GPUs through Kernel-Granularity Disaggregation

The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value

Think Before you Write: QA-Guided Reasoning for Character Descriptions in Books

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs

Uncertainty-Based Ensemble Learning in CMR Semantic Segmentation

Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges

VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination

What and Where to Adapt: Structure-Semantics Co-Tuning for Machine Vision Compression via Synergistic Adapters

What do your logits know? (The answer may surprise you!)

Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Text

ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents

2D or 3D: Who Governs Salience in VLA Models? -- Tri-Stage Token Pruning Framework with Modality Salience Awareness

Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting

Arbitration Failure, Not Perceptual Blindness: How Vision-Language Models Resolve Visual-Linguistic Conflicts

B-MoE: A Body-Part-Aware Mixture-of-Experts 'All Parts Matter' Approach to Micro-Action Recognition

Beyond Relevance: Utility-Centric Retrieval in the LLM Era

Constraint-Aware Corrective Memory for Language-Based Drug Discovery Agents

DDSP-QbE++: Improving Speech Quality for Speech Anonymisation for Atypical Speech

Differentially Private and Federated Structure Learning in Bayesian Networks

Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications

Do Vision Language Models Need to Process Image Tokens?

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling

eBandit: Kernel-Driven Reinforcement Learning for Adaptive Video Streaming

EfficientSign: An Attention-Enhanced Lightweight Architecture for Indian Sign Language Recognition

EgoTL: Egocentric Think-Aloud Chains for Long-Horizon Tasks

EthicMind: A Risk-Aware Framework for Ethical-Emotional Alignment in Multi-Turn Dialogue

EXAONE 4.5 Technical Report

Gen-n-Val: Agentic Image Data Generation and Validation

HiFloat4 Format for Language Model Pre-training on Ascend NPUs

LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation

Master AI Orchestrator CLI?

Memory operations, including retrieval, prioritization, compaction awareness, should be native and baked into the harness. 𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐭…

Modality-Aware Zero-Shot Pruning and Sparse Attention for Efficient Multimodal Edge Inference

Music Audio-Visual Question Answering Requires Specialized Multimodal Designs

NOMAD: Generating Embeddings for Massive Distributed Graphs

OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains

Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing

PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing

Retrieval Augmented Classification for Confidential Documents

Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics

RIRF: Reasoning Image Restoration Framework

Robust Reasoning Benchmark

Sample-Efficient Neurosymbolic Deep Reinforcement Learning

SatQNet: Satellite-assisted Quantum Network Entanglement Routing Using Directed Line Graph Neural Networks