3/2/2026
Language Models as Messengers: Enhancing Message Passing in Heterophilic Graph Learning
Method using language models to improve message passing in heterophilic graph neural networks by leveraging semantic node text.
3/2/2026
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
MLE-Live framework for evaluating LLM agents in ML engineering that engage with research communities through knowledge sharing and communication.
3/2/2026
Integrating LLM in Agent-Based Social Simulation: Opportunities and Challenges
Position paper examining opportunities and limitations of integrating LLMs into agent-based social simulations from computational social science perspective.
3/2/2026
MACD: Multi-Agent Clinical Diagnosis with Self-Learned Knowledge for LLM
Multi-agent system for clinical diagnosis that accumulates self-learned clinical knowledge across agent interactions for improved LLM performance.
3/2/2026
Demystifying the Lifecycle of Failures in Platform-Orchestrated Agentic Workflows
Analysis of failure modes in multi-agent workflows built on low-code orchestration platforms, examining propagation across heterogeneous nodes.
3/2/2026
RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
RE-PO framework for robust LLM alignment that handles noisy preference data and unreliable annotations in RLHF-style training.
3/2/2026
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information
MITS algorithm using pointwise mutual information to improve tree search reasoning in LLMs with better step quality assessment.
3/2/2026
Reallocating Attention Across Layers to Reduce Multimodal Hallucination
Method for reducing hallucinations in multimodal LLMs by reallocating attention across layers to balance perception and reasoning.
3/2/2026
Automating the Refinement of Reinforcement Learning Specifications
AutoSpec framework for automatically refining logical specifications in reinforcement learning through exploration-guided search strategies.
3/2/2026
Radiologist Copilot: An Agentic Framework Orchestrating Specialized Tools for Reliable Radiology Reporting
Agentic framework orchestrating specialized tools for automated radiology reporting, combining vision-language models with multi-step reasoning.
3/2/2026
From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?
Research on whether LLMs can mediate online conflicts by fostering empathy and constructive dialogue beyond content moderation.
3/2/2026
How do Visual Attributes Influence Web Agents? A Comprehensive Evaluation of User Interface Design Factors
Evaluation of visual UI design factors influencing web agent decision-making and task performance.
3/2/2026
Real-Time Aligned Reward Model beyond Semantics
Real-time alignment technique for RLHF reward models to prevent overoptimization and maintain human intent capture.
3/2/2026
Does Your Reasoning Model Implicitly Know When to Stop Thinking?
Study on whether Large Reasoning Models know when to stop thinking, addressing redundancy in long chains-of-thought.
3/2/2026
Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
Training method for Large Reasoning Models using adaptive reflection and length penalties to reduce unnecessary token consumption.
3/2/2026
ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI
ForesightSafety Bench evaluates frontier risks in autonomous AI with unpredictable and difficult-to-control behaviors.
3/2/2026
IntentCUA: Learning Intent-level Representations for Skill Abstraction and Multi-Agent Planning in Computer-Use Agents
IntentCUA framework for computer-use agents with intent-aligned planning and multi-agent coordination over long horizons.
3/2/2026
Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction
Layered execution structures for tool orchestration in agentic systems with reflective error correction mechanisms.
3/2/2026
Aletheia tackles FirstProof autonomously
Aletheia AI agent solved 6/10 FirstProof mathematics challenges autonomously using Gemini 3 Deep Think reasoning.
3/2/2026
Multi-Level Causal Embeddings
Framework for causal embeddings enabling multiple detailed models to map into sub-systems of coarser causal models.
3/2/2026
Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace or Augment Social Scientists?
Examines AI agents with persistent state, tool access, and skills for autonomous execution of social science research pipelines.
3/2/2026
ConstraintBench: Benchmarking LLM Constraint Reasoning on Direct Optimization
ConstraintBench evaluates whether LLMs can directly solve constrained optimization problems without solver access.
3/2/2026
Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search
Study on LLM vulnerability to jailbreak attacks using classical Chinese prompts to bypass safety constraints.
3/2/2026
Less is more -- the Dispatcher/ Executor principle for multi-task Reinforcement Learning
Dispatcher/Executor principle for multi-task reinforcement learning using abstraction to improve generalization across tasks.
3/2/2026
R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation
R2GenCSR uses LLMs with visual feature extraction from X-ray images for automated radiology report generation.
3/2/2026
Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
Research framework for sparse counterfactual explanations using optimal transport and Shapley values for model interpretability.
3/2/2026
Spread them Apart: Towards Robust Watermarking of Generated Content
Research on robust watermarking techniques for distinguishing generated from real content in generative models.
3/2/2026
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
Research paper on grounding LLMs with real-time financial data for knowledge-aware financial agent applications.
3/2/2026
Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling
Semantic parallelism technique for efficient MoE LLM inference via model-data co-scheduling reducing communication bottlenecks.
3/2/2026
What Makes a Reward Model a Good Teacher? An Optimization Perspective
Optimization perspective on reward model quality in RLHF showing accuracy alone doesn't capture effective teacher properties.
3/2/2026
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
Domain decomposition approach for neural operators to improve geometry generalization and transferability in PDE solving.
3/2/2026
LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN
LLM-empowered hierarchical RIC controller for O-RAN addressing cooperation, computational demands, and domain-specific adaptation.
3/2/2026
FineScope : SAE-guided Data Selection Enables Domain Specific LLM Pruning and Finetuning
FineScope framework using SAE-guided data selection for domain-specific LLM pruning and finetuning with maintained performance.
3/2/2026
Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search
Feature selection method using permutation-invariant embeddings and policy-guided search for complex feature interactions.
3/2/2026
Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
Agentic Predictor using multi-view encoders for performance prediction in LLM-based agentic workflows without exhaustive evaluation.
3/2/2026
Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning
Method bridging target-free and target-based deep reinforcement learning to reduce memory requirements and improve update propagation.
3/2/2026
From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model
Framework converting generative multimodal LLMs into zero-shot discriminative embedding models without extensive pre-training.
3/2/2026
OM2P: Offline Multi-Agent Mean-Flow Policy
OM2P offline multi-agent reinforcement learning using flow-based generative models with improved sampling efficiency.
3/2/2026
Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs
Framework for improving LLM context-aided forecasting with diagnostic tools and reduced computational costs for practical deployment.
3/2/2026
Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward
AC3 reinforcement learning framework for long-horizon robotic manipulation using continuous action chunking with sparse rewards.
3/2/2026
LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
LumiMAS framework for real-time monitoring and observability of multi-agent systems with LLMs, addressing system-wide failure detection.
3/2/2026
A Reduction of Input/Output Logics to SAT
SAT reduction approach for automating input/output logics, a family of deontic logics for reasoning over norms and obligations.
3/2/2026
Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
Latent Self-Consistency: method for reliable majority voting in LLM outputs handling both short and long-form reasoning tasks consistently.
3/2/2026
Once4All: Skeleton-Guided SMT Solver Fuzzing with LLM-Synthesized Generators
Once4All: LLM-synthesized test generator for SMT solver fuzzing using skeleton guidance to uncover bugs in evolving solver versions.
3/2/2026
Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning
Veritas: pattern-aware deepfake detection system with HydraFake dataset bridging gap between academic benchmarks and industrial deployment.
3/2/2026
Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
Draw-In-Mind: multimodal model rebalancing designer and painter roles to improve precision in image editing tasks.
3/2/2026
Audio-Conditioned Diffusion LLMs for ASR and Deliberation Processing
LLaDA diffusion-based large language model applied to automatic speech recognition with deliberation-based post-processing for Whisper transcripts.
3/2/2026
Efficient Ensemble Conditional Independence Test Framework for Causal Discovery
E-CIT: plug-and-play ensemble framework for conditional independence testing to reduce computational bottlenecks in constraint-based causal discovery.
3/2/2026
Context and Diversity Matter: The Emergence of In-Context Learning in World Models
Investigation of in-context learning emergence in world models for environmental dynamics prediction beyond static zero-shot performance.
3/2/2026
Activation Function Design Sustains Plasticity in Continual Learning
Study of activation function design's role in preventing plasticity loss during continual learning, beyond catastrophic forgetting.