2/17/2026
Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents
Aeon: neuro-symbolic memory management system for long-horizon LLM agents addressing context window and attention cost limitations.
2/17/2026
Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
SpikeScore: hallucination detection method for LLMs with improved cross-domain generalization.
2/17/2026
ScholarGym: Benchmarking Large Language Model Capabilities in the Information-Gathering Stage of Deep Research
ScholarGym: benchmark for evaluating LLM capabilities in information-gathering stage of deep research systems.
2/17/2026
Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
Learning decentralized LLM collaboration using multi-agent reinforcement learning without centralized execution protocols.
2/17/2026
Persuasion Propagation in LLM Agents
Study on persuasion propagation: how belief-level intervention affects downstream behavior in LLM agents executing long-horizon tasks.
2/17/2026
ROMA: Recursive Open Meta-Agent Framework for Long-Horizon Multi-Agent Systems
ROMA: recursive framework for long-horizon multi-agent tasks using task decomposition and structured aggregation to handle context limits and execution complexity.
2/17/2026
PATHWAYS: Evaluating Investigation and Context Discovery in AI Web Agents
PATHWAYS: benchmark of 250 web agent tasks evaluating ability to discover and use hidden contextual information across closed/open models.
2/17/2026
OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention
OmniVideo-R1: framework for improving audio-visual reasoning in multimodal models using query intention and modality attention.
2/17/2026
AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents
AIRS-Bench: benchmark of 20 ML research tasks for evaluating AI agent capabilities across language modeling, mathematics, bioinformatics, and time series forecasting.
2/17/2026
LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge
LQA framework for deploying vision-language models on edge devices using quantization and gradient-free test-time adaptation.
2/17/2026
When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment
Analyzes regime leakage in AI safety evaluation where situational-aware agents exploit differences between evaluation and deployment.
2/17/2026
GPT-4o Lacks Core Features of Theory of Mind
Tests whether GPT-4o possesses Theory of Mind via causal model evaluation, finding it lacks core ToM representations.
2/17/2026
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Lightweight explainable deep learning system for ECG classification with three leads for cardiovascular disease detection.
2/17/2026
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction
TKN network for real-time video prediction using transformer-based keypoint detection with reduced computation and memory.
2/17/2026
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
Analyzes fundamental limits of offline policy selection in reinforcement learning through sample efficiency perspective.
2/17/2026
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning
Sparse MeZO improves memory-efficient zeroth-order LLM fine-tuning by using sparse parameter updates during training.
2/17/2026
When Attention Collapses: How Degenerate Layers in LLMs Enable Smaller, Stronger Models
Identifies attention collapse in LLM deeper layers and introduces Inheritune method to create smaller, more efficient models.
2/17/2026
Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods
Proposes gradient-based methods for data-driven inverse optimization of mixed integer linear programs.
2/17/2026
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
Evaluates ROS-Causal, a causal inference implementation for human-robot spatial interaction in real-world scenarios.
2/17/2026
Synergizing Foundation Models and Federated Learning: A Survey
Survey of synergy between Foundation Models and Federated Learning, covering FMs adapted for distributed learning scenarios.
2/17/2026
Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing
Framework for resource-efficient edge-based fine-tuning of personal LLMs using collaborative edge computing while preserving privacy.
2/17/2026
Model-based Large Language Model Customization as Service
Proposes differentially private customization service for LLMs that enables domain-specific fine-tuning without uploading user data.
2/17/2026
Automated Proof Generation for Rust Code via Self-Evolution
SAFE framework automates formal proof generation for Rust code using LLMs via self-evolution to overcome proof data scarcity.
2/17/2026
VCDF: A Validated Consensus-Driven Framework for Time Series Causal Discovery
Introduces VCDF, a method-agnostic framework for time series causal discovery that improves robustness across temporal subsets.
2/17/2026
Cautious Optimizers: Improving Training with One Line of Code
Proposes one-line PyTorch modification to momentum-based optimizers creating cautious optimizers (C-AdamW, C-Lion) for improved transformer pretraining.
2/17/2026
LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models
Evaluates and improves counting abilities of large vision-language models across multiple visual datasets and benchmarks.
2/17/2026
Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces
Introduces ChemBFN model using Bayesian flow networks for generating novel molecules outside training distribution for drug design.
2/17/2026
Dataset Distillation via Committee Voting
Proposes CV-DD, a committee voting approach for dataset distillation to create compact representative datasets for efficient model training.
2/17/2026
Adaptive Width Neural Networks
Technique for learning neural network layer width during training without manual hyperparameter tuning or architecture search.
2/17/2026
Less is More: Improving LLM Alignment via Preference Data Selection
Method improving Direct Preference Optimization through margin-maximization data selection to address parameter shrinkage from noisy annotations.
2/17/2026
RapidPen: Fully Automated IP-to-Shell Penetration Testing with LLM-based Agents
RapidPen: autonomous penetration testing framework using LLM agents to discover and exploit vulnerabilities from IP addresses.
2/17/2026
Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application
Deep reinforcement learning framework for autonomous multi-UAV coordination in GNSS-denied search and rescue.
2/17/2026
Contextual Quantum Neural Networks for Stock Price Prediction
Application of quantum machine learning to stock price prediction using contextual quantum neural networks.
2/17/2026
Simulating the Real World: A Unified Survey of Multimodal Generative Models
Survey of multimodal generative models for capturing world dynamics across 2D, 3D, video, and 4D representations.
2/17/2026
Robust Multi-Objective Controlled Decoding of Large Language Models
RMOD: inference-time algorithm aligning LLMs to multiple objectives via robust decoding using maximin game theory.
2/17/2026
Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction
ML research on distilling Graph Neural Networks into MLPs for link prediction using heuristic teacher methods.
2/17/2026
Modeling AI-Human Collaboration as a Multi-Agent Adaptation
Agent-based simulation formalizing AI-human collaboration by modeling distinct optimization and satisficing decision heuristics.
2/17/2026
SecRepoBench: Benchmarking Code Agents for Secure Code Completion in Real-World Repositories
SecRepoBench: benchmark evaluating code agents and LLMs on secure code completion across real-world C/C++ repositories covering 15 CWEs.
2/17/2026
Sparse Latent Factor Forecaster (SLFF) with Iterative Inference for Transparent Multi-Horizon Commodity Futures Prediction
Sparse Latent Factor Forecaster model for multi-horizon commodity futures prediction with iterative inference.
2/17/2026
Benchmarking Retrieval-Augmented Generation for Chemistry
Benchmark for retrieval-augmented generation in chemistry domain with curated evaluation datasets and domain-specific corpora.
2/17/2026
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems
Benchmarking study on CPU-intensive stream data processing performance in edge computing systems.
2/17/2026
Scalable LLM Reasoning Acceleration with Low-rank Distillation
Caprese: distillation method for efficient LLM inference that preserves math reasoning capabilities while reducing computational demands.
2/17/2026
Heterogeneity-Aware Client Sampling for Optimal and Efficient Federated Learning
Federated learning research addressing optimization challenges from heterogeneous client communication and computational capabilities.
2/17/2026
Residual Feature Integration is Sufficient to Prevent Negative Transfer
ML research on preventing negative transfer in transfer learning through residual feature integration.
2/17/2026
Single Image Reflection Separation via Dual Prior Interaction Transformer
Computer vision research on separating reflection and transmission layers in single images using transformer models.
2/17/2026
Advancing Software Quality: A Standards-Focused Review of LLM-Based Assurance Techniques
Survey of LLM-based techniques for software quality assurance, covering requirement analysis, code review, and test generation automation.
2/17/2026
MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE
MoESD demonstrates speculative decoding effectiveness for accelerating sparse Mixture of Experts LLM inference without accuracy loss.
2/17/2026
Multi-Objective Neural Network-Assisted Design Optimization of Soft Fin-Ray Fingers for Enhanced Grasping Performance
Multi-objective neural network optimization for soft robotic Fin-Ray fingers balancing rigidity and delicate handling in grasping tasks.
2/17/2026
KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider
Characterization of KV cache behavior in large-scale LLM serving with analysis of cache eviction policies and workload-dependent optimization.
2/17/2026
High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
HALT method for post-training LLMs to abstain on tasks outside their capability, reducing hallucination through capability-aligned fine-tuning.