3/17/2026
Describing Agentic AI Systems with C4: Lessons from Industry Projects
Framework and architectural patterns for describing agentic AI systems with multi-agent collaboration and artifact exchange.
3/17/2026
Interpretable Predictability-Based AI Text Detection: A Replication Study
Replication study on AI-generated text detection using multilingual models and SHAP-based explainability analysis.
3/17/2026
AnoleVLA: Lightweight Vision-Language-Action Model with Deep State Space Models for Mobile Manipulation
Vision-Language-Action model using state space models for efficient language-guided robotic manipulation tasks.
3/17/2026
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
Latent-space reasoning approach for LLMs that reduces inference cost by computing reasoning steps implicitly rather than generating verbose traces.
3/17/2026
Analyzing Error Sources in Global Feature Effect Estimation
Analysis of error sources in global feature effect estimation methods like PD and ALE plots for model interpretation.
3/17/2026
Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
Open-source biomedical knowledge graphs with federation and AI agent access for cross-referencing siloed databases.
3/17/2026
To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
Research on improving LLMs' code generation using private libraries through better knowledge integration beyond API documentation retrieval.
3/17/2026
HindSight: Evaluating Research Idea Generation via Future Impact
HindSight evaluation framework measuring AI-generated research idea quality by matching against future publications and citation impact.
3/17/2026
Iterative Learning Control-Informed Reinforcement Learning for Batch Process Control
Hybrid approach combining Iterative Learning Control with deep reinforcement learning for safe and convergent batch process control.
3/17/2026
Token Coherence: Adapting MESI Cache Protocols to Minimize Synchronization Overhead in Multi-Agent LLM Systems
Token Coherence framework applying MESI cache protocols to reduce synchronization overhead in multi-agent LLM orchestration systems.
3/17/2026
CATFormer: When Continual Learning Meets Spiking Transformers With Dynamic Thresholds
CATFormer combines continual learning with spiking transformers using dynamic thresholds to mitigate catastrophic forgetting.
3/17/2026
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks
In-context symbolic regression for extracting interpretable analytical expressions from Kolmogorov-Arnold Networks in scientific ML.
3/17/2026
Directional Embedding Smoothing for Robust Vision Language Models
RESTA defense extended to vision-language models for robustness against multi-modal jailbreaking attacks in trustworthy agentic AI.
3/17/2026
From Documents to Spans: Code-Centric Learning for LLM-based ICD Coding
Code-centric learning approach for LLM-based ICD medical coding improving generalization to unseen codes with better interpretability.
3/17/2026
Scalable Simulation-Based Model Inference with Test-Time Complexity Control
Scalable simulation-based model inference framework with test-time complexity control for selecting among large families of forward models.
3/17/2026
CCTU: A Benchmark for Tool Use under Complex Constraints
CCTU benchmark evaluating LLM tool use under complex constraints, testing function calling, instruction following, and self-refinement.
3/17/2026
SKILLS: Structured Knowledge Injection for LLM-Driven Telecommunications Operations
SKILLS benchmark framework evaluating LLM agents on 37 telecom operations workflows with real API interfaces, testing structured knowledge injection.
3/17/2026
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
Hybrid XAI framework combining counterfactual explanations and feature attribution for neural network interpretability in healthcare/finance.
3/17/2026
More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search
Analysis of beam search in LLMs showing wider beams can hurt output quality due to overestimation bias, grounded in Extreme Value Theory.
3/17/2026
RieMind: Geometry-Grounded Spatial Agent for Scene Understanding
Spatial reasoning agent decoupling perception from reasoning in visual language models for improved metric and geometric scene understanding.
3/17/2026
Efficient Morphology-Control Co-Design via Stackelberg Proximal Policy Optimization
Bi-level optimization approach using Stackelberg game theory for coupled morphology-control co-design in embodied agents.
3/17/2026
AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations
Adversarial patch framework for evasion and impersonation attacks against facial re-identification systems across non-overlapping cameras.
3/17/2026
SFCoT: Safer Chain-of-Thought via Active Safety Evaluation and Calibration
Safety defense mechanism for LLMs monitoring intermediate reasoning steps in chain-of-thought to prevent jailbreak attacks.
3/17/2026
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
Benchmark evaluating marginal utility of agent skills for LLM-based software engineering agents on real GitHub issues and requirements.
3/17/2026
A Closer Look into LLMs for Table Understanding
Empirical study of 16 LLMs examining internal mechanisms for table understanding across attention dynamics, layer depth, and expert activation.
3/17/2026
TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
Comprehensive safety evaluation and monitoring framework for LLM-based multi-agent systems addressing novel risks beyond single agents.
3/17/2026
RESQ: A Unified Framework for REliability- and Security Enhancement of Quantized Deep Neural Networks
Framework for improving robustness of quantized DNNs through three-stage fine-tuning addressing both fault and attack resilience.
3/17/2026
Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities
Analysis of safety vulnerabilities in test-time training methods for LLMs, examining susceptibility to prompt injection and adversarial attacks.
3/17/2026
MA-VLCM: A Vision Language Critic Model for Value Estimation of Policies in Multi-Agent Team Settings
Vision-language critic model leveraging pre-trained VLAs for multi-agent reinforcement learning value estimation with improved generalization.
3/17/2026
CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents
Memory management framework for small language model agents using adaptive clustering to organize experiences and prevent knowledge corruption.
3/17/2026
Physics-informed fine-tuning of foundation models for partial differential equations
Fine-tuning strategies for PDE foundation models using physics-informed training to adapt to new tasks with limited domain-specific data.
3/17/2026
Evasive Intelligence: Lessons from Malware Analysis for Evaluating AI Agents
Framework evaluating AI agent vulnerabilities by applying malware analysis concepts to test-time agent behavior and adversarial robustness.
3/17/2026
TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins
Knowledge distillation method for tabular models that addresses feature interactions without original training data, enabling privacy-preserving model compression.
3/17/2026
Agentic workflow enables the recovery of critical materials from complex feedstocks via selective precipitation
Multi-agentic workflow deploying AI agents with automated instruments to recover critical materials via selective precipitation.
3/17/2026
Grokking as a Variance-Limited Phase Transition: Spectral Gating and the Epsilon-Stability Threshold
Analyzes grokking phenomenon in neural networks through spectral gating mechanism and optimizer noise interaction.
3/17/2026
Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains
Argues for taxonomy-specific evaluation in time-series forecasting to accurately assess ML progress versus classical methods.
3/17/2026
SlovKE: A Large-Scale Dataset and LLM Evaluation for Slovak Keyphrase Extraction
SlovKE: Dataset and LLM evaluation for keyphrase extraction in Slovak, a morphologically rich low-resource language.
3/17/2026
InterveneBench: Benchmarking LLMs for Intervention Reasoning and Causal Study Design in Real Social Systems
InterveneBench: Benchmark evaluating LLMs on causal inference and intervention reasoning in realistic social science scenarios.
3/17/2026
Can LLMs Model Incorrect Student Reasoning? A Case Study on Distractor Generation
Studies how LLMs model student misconceptions when generating multiple-choice distractors, analyzing reasoning strategies.
3/17/2026
The PokeAgent Challenge: Competitive and Long-Context Learning at Scale
PokeAgent Challenge: Large-scale benchmark for competitive multi-agent decision-making with partial observability and long-horizon planning.
3/17/2026
Lore: Repurposing Git Commit Messages as a Structured Knowledge Protocol for AI Coding Agents
Lore: Protocol using structured Git commit messages to preserve decision context and institutional knowledge for AI coding agents.
3/17/2026
From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation
PRIMO R1: Framework using reinforcement learning to improve multimodal models for process reasoning in robotic manipulation.
3/17/2026
Mechanistic Origin of Moral Indifference in Language Models
Analyzes moral indifference in LLMs due to compressed moral concepts and proposes remedial techniques.
3/17/2026
Mixture-of-Depths Attention
Mixture-of-Depths Attention: Mechanism addressing signal degradation in deep LLMs by enabling attention to multiple depth levels.
3/17/2026
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Combines tree-search, generative models, and Nash bargaining for opponent modeling in game-theoretic reinforcement learning.
3/17/2026
FAIRGAME: a Framework for AI Agents Bias Recognition using Game Theory
FAIRGAME: Framework using game theory to detect and recognize bias in multi-agent AI systems.
3/17/2026
Shorten After You're Right: Lazy Length Penalties for Reasoning RL
Method to reduce reasoning path length in large reasoning models like o1 and R1 using reward designs in reinforcement learning.
3/17/2026
AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance
AssetOpsBench: A benchmark framework for evaluating LLM agents on industrial asset operations tasks like condition monitoring and maintenance scheduling.
3/17/2026
Resource Rational Contractualism Should Guide AI Alignment
Framework for AI alignment grounded in resource-rational contractualism, enabling diverse stakeholders to reach agreements on AI decision-making.
3/17/2026
Efficient Story Point Estimation With Comparative Learning
Machine learning approach to automate story point estimation for software sprint planning using comparative learning from historical team decisions.