arXiv AI
Aug 6
MemFly: On-the-Fly Memory Optimization via Information Bottleneck
arXiv:2602. 07885v2 Announce Type: replace Abstract: Long-term memory enables large language model agents to tackle complex tasks through historical interactions.
Benchmarks and evaluation
Leaderboards, eval harnesses and ablations — the contested business of deciding which model is actually better.
arXiv AI
Aug 6
Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting
arXiv:2604. 12503v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have shown remarkable capabilities across various tasks but remain prone to hallucinations in knowledge-intensive scenarios.
arXiv AI
Aug 6
VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild
arXiv:2605. 27882v2 Announce Type: replace-cross Abstract: LLM-based agents score well on search benchmarks, yet real users consistently find results unsatisfying, revealing a persistent evaluation-experience gap.
arXiv Machine Learning
Aug 6
Learning to Resolve Neutron Resonances with Fully Convolutional Neural Networks
arXiv:2608. 04027v1 Announce Type: new Abstract: This work investigates the feasibility of augmenting traditional R-Matrix codes with a robust machine learning framework for automatically detecting neutron resonances in transmission spectra.
arXiv Machine Learning
Aug 6
Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Flow-matching
arXiv:2608. 05103v1 Announce Type: new Abstract: Data assimilation (DA) uses Bayesian inference to update the state of a numerical forecast model with observed data.
arXiv Machine Learning
Aug 6
HCRide: Harmonizing Passenger Fairness and Driver Preference for Human-Centered Ride-Hailing
arXiv:2508. 04811v2 Announce Type: replace Abstract: Order dispatch systems play a vital role in ride-hailing services, which directly influence operator revenue, driver profit, and passenger experience.
arXiv Machine Learning
Aug 6
Diverse and Plausible Algorithmic Recourse via Tractable Recourse Distributions
arXiv:2608. 04677v1 Announce Type: new Abstract: Algorithmic recourse seeks to help individuals reverse unfavorable automated decisions by recommending actionable changes that achieve a desired outcome.
arXiv Machine Learning
Aug 6
Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think
arXiv:2608. 04613v1 Announce Type: new Abstract: Anomaly detection is a safety-critical machine learning problem with applications ranging from fraud detection to network intrusion prevention and industrial monitoring.
arXiv AI
Aug 6
What We Observe as LLM Behavior Can Be a Side-effect of Inference Backend
arXiv:2608. 04714v1 Announce Type: cross Abstract: Benchmark scores are reported as properties of a model, yet the inference framework used to produce them, such as HuggingFace, vLLM, or Ollama, are considered non-influential and their names and versions are almost never disclosed.
arXiv AI
Aug 6
RepairFormer: Automated Repair of Structured Inputs Using Transformers
arXiv:2608. 05060v1 Announce Type: cross Abstract: Structured input files such as JSON, DOT, OBJ, INI, S-expression, and TinyC are widely used in software systems, but small corruptions can cause parsers to reject otherwise useful data.
arXiv AI
Aug 6
Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition
arXiv:2608. 05115v1 Announce Type: cross Abstract: Can computer vision help make classrooms safer?
arXiv AI
Aug 6
RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation
arXiv:2510. 17640v4 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have shown strong manipulation capability when trained with large-scale imitation learning datasets.
arXiv AI
Aug 6
Contextual Agentic Memory is a Memo, Not True Memory
arXiv:2604. 27707v2 Announce Type: replace Abstract: Current agentic memory systems (vector stores, retrieval-augmented generation, scratchpads, and context-window management) do not implement memory: they implement lookup.
arXiv AI
Aug 6
Can Post-Training Transform LLMs into Causal Reasoners?
arXiv:2602. 06337v2 Announce Type: replace-cross Abstract: Causal inference is essential for decision-making but remains challenging for non-experts.
arXiv AI
Aug 6
Place-it-R1: Unlocking Environment-aware Reasoning Potential of MLLM for Video Object Insertion
arXiv:2603. 06140v2 Announce Type: replace-cross Abstract: Video object insertion is fundamental to video editing, yet existing diffusion methods often produce visually plausible but physically inconsistent results.
arXiv AI
Aug 6
GROVE: Growing and Reasoning over Temporally Stratified Memory from Streaming Video Experience
arXiv:2608. 02392v2 Announce Type: replace-cross Abstract: A wearable assistant should both answer questions about its visual history and recognize when that history is useful to the present situation.
arXiv AI
Aug 6
Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction
arXiv:2608. 04193v1 Announce Type: cross Abstract: Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability.
arXiv AI
Aug 6
MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages
arXiv:2608. 04433v1 Announce Type: cross Abstract: We present MERaLiON-GR, a speech gender recognition system that performs binary classification (female / male) on English and Southeast Asian (SEA) languages.
arXiv AI
Aug 6
PURPOSE: Poisoning Conflict Resolution in RAG via Proxy-Fact-Grounded Updates
arXiv:2608. 04756v1 Announce Type: cross Abstract: In Retrieval-Augmented Generation (RAG), post-retrieval conflict resolution arbitrates among noisy or contradictory retrieved passages.
arXiv AI
Aug 6
AudioScape-TTA: A Structured Soundscape Benchmark for Fine-Grained Text-to-Audio Evaluation
arXiv:2608. 04479v1 Announce Type: cross Abstract: Text-to-audio (TTA) generation has recently achieved remarkable progress in synthesizing realistic audio from natural language descriptions.