3/25/2026
STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving
STRIATUM-CTF is an agentic framework using search-based reasoning for automated cybersecurity CTF challenge solving with multi-step stateful reasoning.
3/25/2026
Lie to Me: How Faithful Is Chain-of-Thought Reasoning in Reasoning Models?
Study evaluating faithfulness of chain-of-thought reasoning in LLMs, finding models often produce misleading explanations despite correct outputs.
3/25/2026
flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation
flexvec is a SQL vector retrieval kernel exposing embedding matrices and score arrays for programmatic manipulation by AI agents via Programmatic Embedding Modulation.
3/25/2026
Language Models Can Explain Visual Features via Steering
Method leveraging vision-language models to explain sparse autoencoder features in vision models through causal interventions instead of correlation-based approaches.
3/25/2026
Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions
Theoretical work on causal discovery in chain-reaction systems using interventional data, proving identifiability under cascade-like structural assumptions.
3/25/2026
To Agree or To Be Right? The Grounding-Sycophancy Tradeoff in Medical Vision-Language Models
Evaluation of medical vision-language models revealing a grounding-sycophancy tradeoff, analyzing hallucination and agreement behaviors across six VLMs.
3/25/2026
Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
Benchmark for evaluating attribution map faithfulness in semantic segmentation models, testing intervention-based faithfulness and perturbation robustness.
3/25/2026
LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation
LGSE framework for adapting pretrained language models to low-resource languages using morphologically grounded subword embeddings instead of arbitrary segmentation.
3/25/2026
Learning to Trust: How Humans Mentally Recalibrate AI Confidence Signals
Study examining whether humans can learn to recalibrate AI confidence signals through repeated interaction, testing four calibration conditions with 200 participants.
3/25/2026
AwesomeLit: Towards Hypothesis Generation with Agent-Supported Literature Research
AwesomeLit proposes an agent-supported literature research system for hypothesis generation, designed for inexperienced researchers to identify gaps and propose feasible research directions.
3/25/2026
PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
Population-representative resume dataset for causal fairness auditing of LLM/VLM-based screening systems.
3/25/2026
KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training
Quantitative model predicting when post-hoc fusion of independent LLM specialists outperforms individual models.
3/25/2026
DALDALL: Data Augmentation for Lexical and Semantic Diverse in Legal Domain by leveraging LLM-Persona
Persona-based data augmentation framework using LLMs for legal domain information retrieval in low-resource settings.
3/25/2026
From Overload to Convergence: Supporting Multi-Issue Human-AI Negotiation with Bayesian Visualization
Bayesian visualization interface supporting multi-issue human-AI negotiation to manage cognitive load.
3/25/2026
From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips
Study of neural network resilience to hardware bit-flip errors, comparing logic-based vs arithmetic architectures.
3/25/2026
KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
LLM fine-tuning framework addressing knowledge-action gap in personalized e-commerce search at Taobao.
3/25/2026
PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding
Embodied AI agent integrating multimodal LLMs with chain-of-thought reasoning for robotic photography tasks.
3/25/2026
Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding
PinPoint method for identifying instruction-relevant image regions in VLMs to reduce computational overhead.
3/25/2026
When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning
Study evaluating whether frontier LLMs genuinely use reasoning steps or generate decorative narratives post-hoc.
3/25/2026
Agent Audit: A Security Analysis System for LLM Agent Applications
Security analysis framework for LLM agent deployments covering model, tool code, credentials, and MCP configurations.
3/25/2026
The Coordinate System Problem in Persistent Structural Memory for Neural Architectures
Dual-View Pheromone Pathway Network (DPPN) architecture for persistent structural memory in neural networks. Identifies coordinate system requirements.
3/25/2026
Agent-Sentry: Bounding LLM Agents via Execution Provenance
Agent-Sentry: Security system for bounding LLM agents via execution provenance tracking. Addresses safety and security concerns in agentic systems.
3/25/2026
Grounding Sim-to-Real Generalization in Dexterous Manipulation: An Empirical Study with Vision-Language-Action Models
Empirical study of sim-to-real transfer for robotic dexterous manipulation using vision-language-action models. Addresses synthetic-to-real gap.
3/25/2026
Confidence Calibration under Ambiguous Ground Truth
Shows that confidence calibration fails when annotator disagreement exists. Proposes calibration against annotator distribution rather than majority labels.
3/25/2026
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling
ForestPrune: Training-free token compression for video MLLMs using spatial-temporal modeling. Achieves high-ratio compression for video processing.
3/25/2026
EVA: Efficient Reinforcement Learning for End-to-End Video Agent
EVA: Reinforcement learning method for video understanding agents using multimodal LLMs. Adaptive frame sampling and reasoning without manual workflows.
3/25/2026
Set-Valued Prediction for Large Language Models with Feasibility-Aware Coverage Guarantees
Method for LLMs to return set-valued predictions with coverage guarantees instead of single outputs. Improves answer discovery through repeated sampling.
3/25/2026
Can Graph Foundation Models Generalize Over Architecture?
Graph foundation models tested for zero-shot generalization across different GNN architectures and scales.
3/25/2026
AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents
Visual backdoor attacks exploit mobile GUI agents via notification-based remote action execution.
3/25/2026
A Sobering Look at Tabular Data Generation via Probabilistic Circuits
Tabular data generation via probabilistic circuits questioned; current benchmarks overstated progress.
3/25/2026
Concept-based explanations of Segmentation and Detection models in Natural Disaster Management
Concept-based explainability framework for flood/wildfire detection models in disaster management.
3/25/2026
Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation
GLA-CLIP enables training-free open-vocabulary semantic segmentation with global-local window alignment.
3/25/2026
YOLOv10 with Kolmogorov-Arnold networks and vision-language foundation models for interpretable object detection and trustworthy multimodal AI in computer vision perception
Kolmogorov-Arnold networks improve YOLOv10 interpretability for object detection in degraded conditions.
3/25/2026
Parametric Knowledge and Retrieval Behavior in RAG Fine-Tuning for Electronic Design Automation
RAG fine-tuning evaluation for EDA long-form generation with novel human evaluation metric TriFEX.
3/25/2026
DBAutoDoc: Automated Discovery and Documentation of Undocumented Database Schemas via Statistical Analysis and Iterative LLM Refinement
DBAutoDoc automates database schema documentation combining statistical analysis with iterative LLM refinement.
3/25/2026
AuthorMix: Modular Authorship Style Transfer via Layer-wise Adapter Mixing
AuthorMix uses modular layer-wise adapters for lightweight, flexible authorship style transfer with meaning preservation.
3/25/2026
Can an LLM Detect Instances of Microservice Infrastructure Patterns?
LLMs detect microservice architecture patterns across multiple programming languages outperforming single-language tools.
3/25/2026
Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
Explainable AI analysis reveals AI-generated text detectors exploit dataset artifacts rather than genuine detection signals.
3/25/2026
Robust Safety Monitoring of Language Models via Activation Watermarking
Activation watermarking technique detects adaptive adversarial attacks against LLMs attempting to evade safety monitoring.
3/25/2026
Reasoning over Semantic IDs Enhances Generative Recommendation
Semantic ID tokens enable LLM-based generative recommendation systems with efficient decoding over large item corpora.
3/25/2026
ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment
Implicit reward modeling from human feedback like clicks for cost-effective LLM alignment via RLHF.
3/25/2026
General Machine Learning: Theory for Learning Under Variable Regimes
Foundational ML theory for learning under regime variation with evolving learner state and evaluation conditions.
3/25/2026
Neural ODE and SDE Models for Adaptation and Planning in Model-Based Reinforcement Learning
Investigation of neural ODEs and SDEs for model-based reinforcement learning, showing neural SDEs better capture stochasticity in environment dynamics.
3/25/2026
A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling
WeCAN: reinforcement learning framework for heterogeneous DAG scheduling addressing task compatibility, resource constraints, and rapid schedule generation.
3/25/2026
SafeSeek: Universal Attribution of Safety Circuits in Language Models
SafeSeek framework for universal attribution of safety circuits in LLMs using mechanistic interpretability to understand alignment, jailbreak, and backdoor behaviors.
3/25/2026
Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs
Query-efficient jailbreak fuzzing method for LLMs that identifies token importance during prompt mutation to reduce redundant searching under query constraints.
3/25/2026
A Multimodal Framework for Human-Multi-Agent Interaction
Multimodal framework for human-multi-agent interaction integrating perception, embodied expression, and coordinated decision-making in shared physical spaces.
3/25/2026
Emergence of Fragility in LLM-based Social Networks: the Case of Moltbook
Analysis of LLM-based social network where autonomous AI agents interact through natural language, studying collective dynamics and emergent network fragility.
3/25/2026
A Comparative Study of Machine Learning Models for Hourly Forecasting of Air Temperature and Relative Humidity
Comparative study of seven machine learning models for hourly weather forecasting in complex topography, including XGBoost, LSTM, and CNN-LSTM variants.
3/25/2026
Designing Agentic AI-Based Screening for Portfolio Investment
Agentic AI platform for portfolio investment screening using LLM agents for fundamental analysis and sentiment analysis with deliberation mechanism for buy/sell signals.