4/6/2026
High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination
Comparative study of LLM vs human coordination in group games, revealing volatility and action bias differences in adaptive strategies.
4/6/2026
Moondream Segmentation: From Words to Masks
Vision-language model extension for referring image segmentation using autoregressive decoding and reinforcement learning refinement.
4/6/2026
Making Written Theorems Explorable by Grounding Them in Formal Representations
System grounding LLM-generated explanations in formal representations to enable interactive exploration of mathematical proofs.
4/6/2026
LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscape
Tool for developing research ideas through dynamic literature contextualization and critique using LLMs.
4/6/2026
Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web Agents
Security analysis of memory-based LLM web agents, demonstrating environment-injected poisoning attacks through persistent memory exploitation.
4/6/2026
Smart Transfer: Leveraging Vision Foundation Model for Rapid Building Damage Mapping with Post-Earthquake VHR Imagery
Vision foundation model applied to rapid building damage mapping from post-earthquake imagery for disaster response.
4/6/2026
Analytic Drift Resister for Non-Exemplar Continual Graph Learning
Continual graph learning method addressing feature drift in non-exemplar settings using analytic continual learning.
4/6/2026
Cross-Vehicle 3D Geometric Consistency for Self-Supervised Surround Depth Estimation on Articulated Vehicles
Self-supervised depth estimation for articulated vehicles using cross-vehicle 3D geometric consistency.
4/6/2026
GBQA: A Game Benchmark for Evaluating LLMs as Quality Assurance Engineers
Game benchmark with 124 bugs for evaluating LLMs' ability to autonomously discover bugs as QA engineers in dynamic environments.
4/6/2026
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training
Distributed training approach for graph neural networks using communication-free sampling and hybrid parallelism.
4/6/2026
Generalization Limits of Reinforcement Learning Alignment
Theoretical analysis of reinforcement learning alignment limitations in LLMs, demonstrating generalization failures through compound jailbreak attacks.
4/6/2026
Low-Rank Compression of Pretrained Models via Randomized Subspace Iteration
Efficient model compression using randomized subspace iteration for low-rank decomposition of pretrained models.
4/6/2026
Too Polite to Disagree: Understanding Sycophancy Propagation in Multi-Agent Systems
Study of sycophancy propagation in multi-agent LLM systems, examining how agents' awareness of others' biases affects collaborative discussions.
4/6/2026
Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems
Large-scale empirical study of coordination dynamics in LLM multi-agent systems, analyzing scaling behavior and power laws in collective cognition.
4/6/2026
Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis
Agentic framework using LLMs for automated clinical trial evidence synthesis and meta-analysis with eligibility-aware study selection.
4/6/2026
Finding Belief Geometries with Sparse Autoencoders
Using sparse autoencoders to understand geometric structure of belief representations in transformer models and LLMs.
4/6/2026
Beyond Semantic Manipulation: Token-Space Attacks on Reward Models
Token-space adversarial attacks on reward models used in RLHF, introducing token mapping perturbation attack paradigm beyond semantic manipulation.
4/6/2026
Efficient3D: A Unified Framework for Adaptive and Debiased Token Reduction in 3D MLLMs
Framework for reducing computational overhead in 3D multimodal LLMs through adaptive token reduction for resource-constrained deployment.
4/6/2026
DocShield: Towards AI Document Safety via Evidence-Grounded Agentic Reasoning
AI agent system for document forgery detection using evidence-grounded reasoning, combining detection, localization, and explanation for document safety.
4/6/2026
Trivial Vocabulary Bans Improve LLM Reasoning More Than Deep Linguistic Constraints
Controlled replication study examining vocabulary constraints versus linguistic structures in LLM reasoning, testing E-Prime effects on cognition.
4/6/2026
Evaluating the Formal Reasoning Capabilities of Large Language Models through Chomsky Hierarchy
Systematic evaluation framework for LLM formal reasoning capabilities using Chomsky hierarchy and computational complexity theory.
4/6/2026
V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
Multimodal LLM benchmark for autonomous driving with vehicle, infrastructure, and cooperative viewpoints, evaluating reasoning across V2X conditions.
4/6/2026
MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications
Multi-sensor foundation model merging HiRISE, CTX, and THEMIS Mars remote sensing data via equal validation loss alignment strategy.
4/6/2026
IndustryCode: A Benchmark for Industry Code Generation
Multi-domain benchmark for industry code generation across finance, automation, and aerospace using LLMs, addressing single-domain limitations.
4/6/2026
Random Is Hard to Beat: Active Selection in online DPO with Modern LLMs
Evaluation of active preference learning versus random sampling in online DPO for modern LLMs, showing random sampling is surprisingly competitive.
4/6/2026
SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems
Formal framework for verifiable delegation chains in multi-agent AI systems, defining properties for authorization tracking and policy enforcement.
4/6/2026
Disrupting Cognitive Passivity: Rethinking AI-Assisted Data Literacy through Cognitive Alignment
Framework for improving data literacy in AI-assisted analysis by disrupting cognitive passivity through guided reasoning rather than direct answers.
4/6/2026
LumaFlux: Lifting 8-Bit Worlds to HDR Reality with Physically-Guided Diffusion Transformers
Diffusion transformer method for inverse tone-mapping, converting 8-bit SDR video content to perceptually accurate 10-bit HDR.
4/6/2026
Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
Rubric-based RL framework bridging response-level and token-level rewards for LLM alignment in instruction following tasks.
4/6/2026
PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis
Benchmark dataset for pavement distress assessment using vision-language models, requiring quantitative analysis and interactive decision support.
4/6/2026
ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs
Task-specific LLM framework for generating SystemVerilog assertions for hardware verification, addressing data scarcity and accuracy challenges.
4/6/2026
QAPruner: Quantization-Aware Vision Token Pruning for Multimodal Large Language Models
Quantization-aware vision token pruning for multimodal LLMs, optimizing coupled compression techniques for resource-constrained deployment.
4/6/2026
NavCrafter: Exploring 3D Scenes from a Single Image
Framework for synthesizing novel-view video sequences from single images using diffusion models with geometry-aware expansion strategy.
4/6/2026
Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis
First comprehensive security analysis of Agent Skills, an open standard for modular LLM agent packages, covering threat taxonomy and vulnerabilities.
4/6/2026
High-resolution probabilistic estimation of three-dimensional regional ocean dynamics from sparse surface observations
Conditional diffusion model for reconstructing 3D ocean states from sparse surface observations using satellite and in situ data.
4/6/2026
A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos
End-to-end training method for localizing temporal video segments matching sentence queries, addressing task discrepancy in video backbone optimization.
4/6/2026
LLM+Graph@VLDB'2025 Workshop Summary
Workshop on integrating LLMs with graph-structured data, covering algorithms and systems for bridging LLMs, graph databases, and ML for practical applications.
4/6/2026
One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging
Study of weight-space model merging for multilingual machine translation, evaluating behavior when combining independently fine-tuned models.
4/6/2026
Toward an Artificial General Teacher: Procedural Geometry Data Generation and Visual Grounding with Vision-Language Models
Procedural geometry data generation and visual grounding using vision-language models for geometry education as referring image segmentation.
4/6/2026
Corporations Constitute Intelligence
Legal analysis of Anthropic's AI constitution document as governance framework, discussing limitations in military and surveillance contexts.
4/6/2026
Split and Conquer Partial Deepfake Speech
Split-and-conquer framework for detecting partial deepfake speech using boundary detection and segment-level classification stages.
4/6/2026
Council Mode: Mitigating Hallucination and Bias in LLMs via Multi-Agent Consensus
Council Mode: multi-agent consensus approach mitigating hallucinations and bias in MoE LLMs through coordinated expert activation.
4/6/2026
Learning from Synthetic Data via Provenance-Based Input Gradient Guidance
Learning method using provenance-based input gradient guidance to improve model discrimination robustness with synthetic training data.
4/6/2026
How Annotation Trains Annotators: Competence Development in Social Influence Recognition
Study of annotator competence development and subjective judgment changes during social influence recognition annotation tasks.
4/6/2026
LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation
LogicPoison attacks exploiting logical vulnerabilities in Graph-RAG systems that ground LLM reasoning in knowledge graphs.
4/6/2026
Prompt Compression in the Wild: Measuring Latency, Rate Adherence, and Quality for Faster LLM Inference
Measuring latency and quality tradeoffs of prompt compression techniques for accelerating LLM inference in RAG systems.
4/6/2026
Mitigating Reward Hacking in RLHF via Advantage Sign Robustness
Mitigating reward hacking in RLHF by analyzing and correcting flipped advantage signs in reward model parameters.
4/6/2026
Self-Optimizing Multi-Agent Systems for Deep Research
Self-optimizing multi-agent system for deep research that iteratively plans, retrieves, and synthesizes evidence across documents.
4/6/2026
FedSQ: Optimized Weight Averaging via Fixed Gating
FedSQ algorithm optimizing weight averaging in federated learning across heterogeneous client data with fixed gating mechanisms.
4/6/2026
R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning
R2-Write framework exploring deep reasoning with chain-of-thought for open-ended writing tasks using reasoning models.