3/19/2026
Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval
arXiv paper introducing DiscoGen, procedural generator for algorithm discovery tasks addressing evaluation and contamination issues in ML benchmarks.
3/19/2026
Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification
arXiv paper proposing domain-grounded tiered retrieval architecture to reduce LLM hallucinations through systematic factual verification.
3/19/2026
RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference
Reinforcement learning framework for adaptive mixed-precision quantization of LLMs on resource-constrained devices with per-layer bit width optimization.
3/19/2026
scicode-lint: Detecting Methodology Bugs in Scientific Python Code with LLM-Generated Patterns
LLM-based linter detecting methodology bugs in scientific Python code that produce plausible but incorrect results.
3/19/2026
Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs
Analysis of privacy risks from enterprise data exposure in LLM-integrated systems with optimal differential privacy tradeoffs for agents.
3/19/2026
IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia
First systematic safety evaluation of LLMs across 12 Indic languages using 6,000 culturally grounded prompts in low-resource settings.
3/19/2026
CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
Technique for converting grouped-query attention to multi-head latent attention with improved expressivity and reduced KV-cache costs.
3/19/2026
VideoAtlas: Navigating Long-Form Video in Logarithmic Compute
Method for efficient long-form video processing with hierarchical grid representation enabling lossless, scalable video understanding.
3/19/2026
TDAD: Test-Driven Agentic Development - Reducing Code Regressions in AI Coding Agents via Graph-Based Impact Analysis
Open-source tool and benchmark for reducing code regressions in AI coding agents using AST-based impact analysis and test-driven development.
3/19/2026
Toward Scalable Automated Repository-Level Datasets for Software Vulnerability Detection
Automated approach for generating repository-level vulnerability detection datasets at scale beyond function-centric benchmarks.
3/19/2026
Loc3R-VLM: Language-based Localization and 3D Reasoning with Vision-Language Models
Framework augmenting 2D vision-language models with 3D spatial understanding and viewpoint-aware reasoning capabilities.
3/19/2026
Unified Spatio-Temporal Token Scoring for Efficient Video VLMs
Token pruning approach for efficient video vision-language models addressing temporal redundancy in video-based downstream tasks.
3/19/2026
Signal in the Noise: Polysemantic Interference Transfers and Predicts Cross-Model Influence
Study of polysemanticity in language models using sparse autoencoders to identify semantic interference patterns transferable across models.
3/19/2026
MLlm-DR: Towards Explainable Depression Recognition with MultiModal Large Language Models
Framework for explainable depression diagnosis using multimodal large language models on interview videos with depression score predictions.
3/19/2026
InPhyRe Discovers: Large Multimodal Models Struggle in Inductive Physical Reasoning
Evaluation showing large multimodal models struggle with inductive physical reasoning tasks beyond laws observed during training.
3/19/2026
See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles
Benchmark and analysis of multimodal agents' GUI interaction capabilities, identifying toggle control as a key bottleneck in graphical user interface automation.
3/19/2026
ScheduleMe: Multi-Agent Calendar Assistant
Multi-agent calendar assistant using graph-structured coordination with supervisory agent overseeing specialized task agents for natural language Google Calendar management.
3/19/2026
Assessing LLM Reasoning Through Implicit Causal Chain Discovery in Climate Discourse
Diagnostic evaluation of LLM reasoning capabilities through implicit causal chain discovery task, testing nine LLMs on mechanistic causal reasoning in climate discourse.
3/19/2026
TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling
Multi-agent LLM system for longitudinal psychological counseling with emotional understanding, adaptive strategies, and long-term memory capabilities.
3/19/2026
Efficient LLM Safety Evaluation through Multi-Agent Debate
Research on improving LLM safety evaluation using multi-agent debate with HAJailBench, a 11,100-sample human-annotated jailbreak benchmark across diverse attack methods.
3/19/2026
Safety-Preserving PTQ via Contrastive Alignment Loss
Safety-preserving post-training quantization via contrastive alignment loss to maintain behavioral safety during LLM model compression.
3/19/2026
Aligning Probabilistic Beliefs under Informative Missingness: LLM Steerability in Clinical Reasoning
Study on steering LLM probabilistic beliefs under informative missingness patterns for improved clinical reasoning with incomplete data.
3/19/2026
Stepwise Think-Critique: A Unified Framework for Robust and Interpretable LLM Reasoning
Stepwise Think-Critique framework unifying reasoning and verification in LLMs through intertwined critical thinking for robust problem-solving.
3/19/2026
CircuitLM: A Multi-Agent LLM-Aided Design Framework for Generating Circuit Schematics from Natural Language Prompts
CircuitLM multi-agent LLM pipeline generating circuit schematics from natural language, addressing hallucination and constraint violation issues in EDA.
3/19/2026
PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization
PaperScout autonomous agent for academic paper search using reinforcement learning to dynamically decide tool invocation for complex conditional queries.
3/19/2026
Chain of Mindset: Reasoning with Adaptive Cognitive Modes
Chain of Mindset method enabling LLMs to adaptively switch between cognitive modes for improved reasoning across problem-solving stages.
3/19/2026
A Hierarchical Error-Corrective Graph Framework for Autonomous Agents with LLM-Based Action Generation
HECG framework for autonomous agents using LLM-based action generation with multi-dimensional strategy alignment and error correction mechanisms.
3/19/2026
JobMatchAI An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
JobMatchAI production system for job candidate matching using Transformer embeddings, skill knowledge graphs, and explainable AI reranking.
3/19/2026
The Comprehension-Gated Agent Economy: A Robustness-First Architecture for AI Economic Agency
Comprehension-Gated Agent Economy architecture gates AI agent economic agency on verified comprehension functions rather than capability benchmarks.
3/19/2026
I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
Latent Posterior Factors framework for aggregating noisy heterogeneous evidence in decision-making with explicit uncertainty quantification and interpretability.
3/19/2026
Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
Theoretical characterization of Latent Posterior Factors framework for aggregating multiple evidence sources in probabilistic reasoning with formal guarantees.
3/19/2026
Interpretable Context Methodology: Folder Structure as Agentic Architecture
Model Workspace Protocol for sequential agentic workflows using folder structure as architecture, reducing engineering overhead versus multi-agent frameworks.
3/19/2026
TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas
TRUST-SQL uses multi-turn reinforcement learning and tool integration for text-to-SQL parsing on unknown database schemas in enterprise settings.
3/19/2026
Theoretical Foundations of {\delta}-margin Majority Voting
Theoretical analysis of delta-margin majority voting for consensus-based prediction quality control in high-stakes ML applications.
3/19/2026
Reinforcement learning with learned gadgets to tackle hard quantum problems on real hardware
Uses reinforcement learning with learned gadgets to design quantum circuits addressing noise and connectivity constraints in real quantum hardware.
3/19/2026
ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning
ACT-JEPA combines joint-embedding predictive architecture with self-supervised learning for efficient policy representation in imitation learning.
3/19/2026
Physics-Informed Evolution: An Evolutionary Framework for Solving Quantum Control Problems Involving the Schr\"odinger Equation
Physics-Informed Evolution framework embeds physical laws into evolutionary algorithm fitness functions for quantum control problems.
3/19/2026
Oracular Programming: A Modular Foundation for Building LLM-Enabled Software
Oracular Programming framework for building modular, composable LLM-enabled software with enforceable contracts and reliable composition primitives.
3/19/2026
Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models
Method to improve mathematical reasoning in smaller LLMs by integrating arithmetic learning alongside knowledge distillation and data augmentation.
3/19/2026
Frequency Autoregressive Image Generation with Continuous Tokens
Proposes frequency progressive autoregressive approach for image generation using continuous tokens instead of raster-scan prediction.
3/19/2026
Learning Over Dirty Data with Minimal Repairs
Research on minimal data repair showing imputing all missing values unnecessary for accurate ML models; introduces minimal and almost-minimal repair concepts.
3/19/2026
SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas
SocialJax is an evaluation suite for multi-agent reinforcement learning in sequential social dilemmas, measuring generalization across social scenarios.
3/19/2026
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
Study of data deduplication effects on deep neural network image classifiers. Examines impact on robustness against adversarial attacks.
3/19/2026
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Systematic review of uncertainty quantification and mitigation methods for LLMs to address hallucination and calibration challenges.
3/19/2026
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Survey of edge-cloud collaborative computing for AI and LLM deployment. Covers distributed intelligence and model optimization techniques.
3/19/2026
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines
RAGXplain framework for evaluating and debugging RAG systems. Provides actionable insights into retrieval, context, and generation performance beyond aggregate metrics.
3/19/2026
Advancing Software Quality: A Standards-Focused Review of LLM-Based Assurance Techniques
Survey of LLM-based software quality assurance techniques covering requirement analysis, code review, test generation, and standards compliance.
3/19/2026
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
Benchmark for text-to-SQL systems evaluating scientific reasoning over biomedical knowledge bases requiring implicit domain understanding.
3/19/2026
Probing Association Biases in LLM Moderation Over-Sensitivity
Analysis revealing association biases beyond token level cause LLM content moderation over-sensitivity on decontextualized statements.
3/19/2026
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
Offline RL method handling dynamics mismatch between source and target datasets by leveraging high-shift regions for better exploration.