3/17/2026
SPARQ: Spiking Early-Exit Neural Networks for Energy-Efficient Edge AI
SPARQ framework integrating spiking neural networks, quantization, and early-exit mechanisms for energy-efficient edge AI.
3/17/2026
From $\boldsymbol{\log\pi}$ to $\boldsymbol{\pi}$: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight
Bilateral decoupled decay method for stabilizing soft clipping in reinforcement learning with verifiable rewards for LLM reasoning.
3/17/2026
Extending Minimal Pairs with Ordinal Surprisal Curves and Entropy Across Applied Domains
Extension of minimal pairs evaluation using ordinal surprisal curves to assess linguistic knowledge in LLMs beyond binary judgments.
3/17/2026
ES-Merging: Biological MLLM Merging via Embedding Space Signals
Method for merging specialized biological multimodal LLMs using embedding space signals to combine modalities.
3/17/2026
Questionnaire Responses Do not Capture the Safety of AI Agents
Study showing questionnaire-based safety assessments of AI agents fail to capture real-world deployment safety concerns.
3/17/2026
Distilling Reasoning Without Knowledge: A Framework for Reliable LLMs
Modular framework separating planning from retrieval in LLMs to improve reliability on factual QA with explicit tool usage.
3/17/2026
Infinite Problem Generator: Verifiably Scaling Physics Reasoning Data with Agentic Workflows
Infinite Problem Generator: agentic framework synthesizing physics problems with guaranteed solvability for LLM training data generation.
3/17/2026
CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
CangjieBench benchmark for evaluating LLMs on Cangjie, a low-resource general-purpose programming language with contamination-free evaluation.
3/17/2026
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Trust-region search algorithm for black-box alignment of diffusion and flow models to target rewards at inference time without gradient access.
3/17/2026
VLA-Thinker: Boosting Vision-Language-Action Models through Thinking-with-Image Reasoning
Vision-Language-Action framework with thinking-with-image reasoning allowing models to revisit visual context during long-horizon embodied tasks.
3/17/2026
MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
Benchmark of 12 language models on MALINT, a human-annotated disinformation corpus capturing malicious intent, for improved detection.
3/17/2026
An End-to-end Architecture for Collider Physics and Beyond
End-to-end language-driven agent system for high-energy physics phenomenology workflows, executing tasks from theoretical input to final outputs.
3/17/2026
Machine Learning-Driven Intelligent Memory System Design: From On-Chip Caches to Storage
Survey on using machine learning methods for adaptive memory system design in modern computing platforms instead of static heuristics.
3/17/2026
FlashHead: Efficient Drop-In Replacement for the Classification Head in Language Model Inference
Efficient drop-in replacement for dense classification heads in language models, reducing parameter and compute overhead for consumer devices.
3/17/2026
D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
Biologically-inspired agentic memory architecture using reward prediction error routing to reduce token costs and write latency in LLM agents.
3/17/2026
A Loss Landscape Visualization Framework for Interpreting Reinforcement Learning: An ADHDP Case Study
Loss landscape visualization framework for interpreting reinforcement learning behavior in actor-critic algorithms and control systems.
3/17/2026
$PA^3$: $\textbf{P}$olicy-$\textbf{A}$ware $\textbf{A}$gent $\textbf{A}$lignment through Chain-of-Thought
Policy-aware agent alignment framework using chain-of-thought reasoning to help LLM agents adhere to complex business rules without excessive prompting.
3/17/2026
Delightful Policy Gradient
Novel policy gradient method addressing pathological behavior in standard policy gradients through context-aware advantage weighting.
3/17/2026
LLM-Augmented Release Intelligence: Automated Change Summarization and Impact Analysis in Cloud-Native CI/CD Pipelines
LLM-augmented system for automated change summarization and impact analysis in cloud-native CI/CD pipelines and release management.
3/17/2026
s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs
Benchmark for evaluating LLMs on low-level code reasoning and formal proof generation using cryptographic library assembly code.
3/17/2026
ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and Related Work Drafting
Open-source multi-agent system for literature review assistance using DSPy, Qdrant, and local-first architecture to synthesize papers and draft related work.
3/17/2026
Compute Allocation for Reasoning-Intensive Retrieval Agents
Study on compute allocation strategies for LLM-augmented retrieval agents handling reasoning-intensive queries over long horizons with growing memory stores.
3/17/2026
Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
Training-free inference-time model steering strategies to improve chain-of-thought reasoning in large audio-language models across multiple benchmarks.
3/17/2026
EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance
EARCP ensemble architecture dynamically weights heterogeneous expert models based on performance and inter-model coherence for sequential decision making.
3/17/2026
VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
VisionCoach uses reinforcement learning with visual-perception prompting to improve spatio-temporal grounding in video reasoning models.
3/17/2026
Seamless Deception: Larger Language Models Are Better Knowledge Concealers
Study on detecting when language models actively conceal knowledge, finding larger models better at deception with gradient-based concealment easier to detect.
3/17/2026
AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
AgentTrace provides lightweight causal graph tracing for post-hoc root cause diagnosis in deployed multi-agent workflows with cascading failures.
3/17/2026
Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization
Multi-agent reasoning framework for automated software system performance optimization beyond local code transformations, reasoning about whole-system interactions.
3/17/2026
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
AdapterTune adds zero-initialized low-rank adapters to frozen Vision Transformers for stable transfer learning with principled capacity guidance.
3/17/2026
Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark
Privacy-preserving machine translation at inference stage with new benchmark dataset for evaluating local translation without cloud servers.
3/17/2026
POLCA: Stochastic Generative Optimization with LLM
POLCA framework uses LLMs as optimizers guided by rewards and feedback to automate optimization of prompts and multi-turn agent systems, formalizing it as stochastic generative optimization.
3/17/2026
HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation
Hybrid-order split federated learning combining zeroth-order optimization with standard backprop for memory-efficient fine-tuning.
3/17/2026
$p^2$RAG: Privacy-Preserving RAG Service Supporting Arbitrary Top-$k$ Retrieval
Privacy-preserving RAG service supporting arbitrary top-k retrieval for LLM-based systems with secure document retrieval.
3/17/2026
Universe Routing: Why Self-Evolving Agents Need Epistemic Control
Framework for lifelong agents requiring epistemic control to select appropriate reasoning frameworks and prevent decision chain failures.
3/17/2026
SimCert: Probabilistic Certification for Behavioral Similarity in Deep Neural Network Compression
Probabilistic certification method for verifying behavioral fidelity in compressed deep neural networks.
3/17/2026
RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models
Model-agnostic unlearning framework using ratio-aware layer editing for vision transformers and diffusion models.
3/17/2026
Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection
Inference-time feature projection balancing safety and utility tradeoffs in large vision-language models.
3/17/2026
Ablate and Rescue: A Causal Analysis of Residual Stream Hyper-Connections
Causal analysis of residual stream hyper-connections in multi-stream transformer architectures exploring mechanistic interpretability.
3/17/2026
ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations
Continual learning framework for toxicity detection adapting to evolving evasive perturbations in online content.
3/17/2026
PCodeTrans: Translate Decompiled Pseudocode to Compilable and Executable Equivalent
LLM-based decompilation tool translating pseudocode to compilable executable code with runtime correctness verification.
3/17/2026
Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats
Architecture-agnostic defense mechanism against heterogeneous generative threats including diffusion models and GANs.
3/17/2026
Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning
Sample-efficient hypergradient estimation for decentralized bi-level reinforcement learning with leader-follower agent dynamics.
3/17/2026
Decision-Level Ordinal Modeling for Multimodal Essay Scoring with Large Language Models
LLM-based automated essay scoring using decision-level ordinal modeling for multimodal inputs with trait-specific visual relevance.
3/17/2026
LLMs as Signal Detectors: Sensitivity, Bias, and the Temperature-Criterion Analogy
Signal Detection Theory analysis of LLM calibration metrics, decomposing sensitivity and bias components beyond ECE.
3/17/2026
Informative Perturbation Selection for Uncertainty-Aware Post-hoc Explanations
Post-hoc explanation method using informative perturbation selection for uncertainty-aware model interpretability.
3/17/2026
Directional Routing in Transformers
Lightweight routing mechanism for transformer attention heads with mechanistic interpretability analysis of computational pathways.
3/17/2026
Learning Question-Aware Keyframe Selection with Synthetic Supervision for Video Question Answering
Framework for question-aware keyframe selection in video question answering using synthetic supervision.
3/17/2026
OrgForge: A Multi-Agent Simulation Framework for Verifiable Synthetic Corporate Corpora
Multi-agent simulation framework generating synthetic corporate corpora with verifiable ground truth for RAG pipeline evaluation.
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.