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Completion $\neq$ Collaboration: Scaling Collaborative Effort with Agents
BhashaBench V1: A Comprehensive Benchmark for the Quadrant of Indic Domains
A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks
MMEdge: Accelerating On-device Multimodal Inference via Pipelined Sensing and Encoding
Model-Document Protocol for AI Search
Monopoly Deal: A Benchmark Environment for Bounded One-Sided Response Games
Towards a Method for Synthetic Generation of Persons with Aphasia Transcripts
Large Language Models Report Subjective Experience Under Self-Referential Processing
Audio Signal Processing Using Time Domain Mel-Frequency Wavelet Coefficient
VC4VG: Optimizing Video Captions for Text-to-Video Generation
Integrating Genomics into Multimodal EHR Foundation Models
UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models
On-the-Fly OVD Adaptation with FLAME: Few-shot Localization via Active Marginal-Samples Exploration
SPLite Hand: Sparsity-Aware Lightweight 3D Hand Pose Estimation
MaskCaptioner: Learning to Jointly Segment and Caption Object Trajectories in Videos
Detecting Early and Implicit Suicidal Ideation via Longitudinal and Information Environment Signals on Social Media
LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback
Epistemic Diversity and Knowledge Collapse in Large Language Models
Cycle Diffusion Model for Counterfactual Image Generation
Tunable-Generalization Diffusion Powered by Self-Supervised Contextual Sub-Data for Low-Dose CT Reconstruction
RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards
Holographic Transformers for Complex-Valued Signal Processing: Integrating Phase Interference into Self-Attention
Revealing Multimodal Causality with Large Language Models
SignalLLM: A General-Purpose LLM Agent Framework for Automated Signal Processing
FASL-Seg: Anatomy and Tool Segmentation of Surgical Scenes
DSDE: Dynamic Speculative Decoding with KLD Stability for Real-World Serving
Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
Controlling Thinking Speed in Reasoning Models
AIMeter: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs
SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
SAFE: Multitask Failure Detection for Vision-Language-Action Models
Human-assisted Robotic Policy Refinement via Action Preference Optimization
GenIR: Generative Visual Feedback for Mental Image Retrieval
UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection
Incentivizing LLMs to Self-Verify Their Answers
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Towards Predicting Any Human Trajectory In Context
Learning World Models for Interactive Video Generation
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems
Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English
Let LRMs Break Free from Overthinking via Self-Braking Tuning
Learning to Insert for Constructive Neural Vehicle Routing Solver
Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space
Curriculum Abductive Learning
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
Toward a Public and Secure Generative AI: A Comparative Analysis of Open and Closed LLMs
Empowering Agentic Video Analytics Systems with Video Language Models
M-Prometheus: A Suite of Open Multilingual LLM Judges
Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning?
Language Models can Self-Improve at State-Value Estimation for Better Search
Reflection on Data Storytelling Tools in the Generative AI Era from the Human-AI Collaboration Perspective
More of the Same: Persistent Representational Harms Under Increased Representation
Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data
UV-Attack: Physical-World Adversarial Attacks for Person Detection via Dynamic-NeRF-based UV Mapping
In Defence of Post-hoc Explainability
Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM
Language Model Preference Evaluation with Multiple Weak Evaluators
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
Speak & Spell: LLM-Driven Controllable Phonetic Error Augmentation for Robust Dialogue State Tracking
AI's Social Forcefield: Reshaping Distributed Cognition in Human-AI Teams
A mathematical certification for positivity conditions in Neural Networks with applications to partial monotonicity and Trustworthy AI
Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language Models
Chaos-based reinforcement learning with TD3
VerifIoU - Robustness of Object Detection to Perturbations
Reward Collapse in Aligning Large Language Models
Latent Chain-of-Thought for Visual Reasoning
Multi-Agent Evolve: LLM Self-Improve through Co-evolution
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
Beyond Reactivity: Measuring Proactive Problem Solving in LLM Agents
LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
Earth AI: Unlocking Geospatial Insights with Foundation Models and Cross-Modal Reasoning
Think Then Embed: Generative Context Improves Multimodal Embedding
Demystifying the Roles of LLM Layers in Retrieval, Knowledge, and Reasoning
TERAG: Token-Efficient Graph-Based Retrieval-Augmented Generation
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs
Fuzzy, Symbolic, and Contextual: Enhancing LLM Instruction via Cognitive Scaffolding
Collab-REC: An LLM-based Agentic Framework for Balancing Recommendations in Tourism
Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning
CompoST: A Benchmark for Analyzing the Ability of LLMs To Compositionally Interpret Questions in a QALD Setting
Embracing Contradiction: Theoretical Inconsistency Will Not Impede the Road of Building Responsible AI Systems
Self-Evolving Curriculum for LLM Reasoning
MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling
Plasticity as the Mirror of Empowerment
AutoLibra: Agent Metric Induction from Open-Ended Human Feedback
Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
Gistify! Codebase-Level Understanding via Runtime Execution
Defeating the Training-Inference Mismatch via FP16
Remote Labor Index: Measuring AI Automation of Remote Work
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