6/1/2026
Inverting Data Transformations via Diffusion Sampling
Probabilistic approach to inverting unknown group transformations using diffusion sampling for transformation recovery on Lie groups.
6/1/2026
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
Addresses scalability bottleneck in amortized neural symbolic regression by improving expression normalization for discovering interpretable analytical expressions.
6/1/2026
A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
Framework for evaluating goal-directedness in LLM agents combining behavioral evaluation with representational interpretability analysis of internal model states.
6/1/2026
Biases in the Blind Spot: Detecting What LLMs Fail to Mention
Proposes automated pipeline for detecting unverbalized biases in LLM chain-of-thought reasoning without requiring predefined categories or hand-crafted datasets.
6/1/2026
Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders
Introduces Feature Activation Coverage metric using sparse autoencoders to measure task-relevant diversity in LLM post-training data synthesis.
6/1/2026
Weight Decay Improves Language Model Plasticity
Studies how weight decay during pretraining improves LLM plasticity and downstream adaptability beyond validation loss optimization.
6/1/2026
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
SCOPE framework calibrates LLM-based pairwise evaluation judges using conformal prediction to control error rates and reduce miscalibration and bias in assessments.
6/1/2026
DTBench: A Synthetic Benchmark for Document-to-Table Extraction
DTBench introduces a synthetic benchmark for evaluating LLM performance on document-to-table extraction tasks requiring complex reasoning and structured output generation.
6/1/2026
The Information Geometry of Softmax: Probing and Steering
Studies information geometry of softmax representations in AI systems, focusing on how models encode semantic structure into representation spaces for behavior production.
6/1/2026
HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
HiPER proposes hierarchical reinforcement learning with explicit credit assignment for training LLM agents on long-horizon tasks with sparse rewards, addressing multi-turn decision-making challenges.
6/1/2026
HistCAD: A Constraint-Aware Parametric History-Based CAD Representation, Dataset, and Benchmark with Industrial Complexity
HistCAD benchmark for parametric CAD generation preserving design intent through constraint-aware representations and parametric history.
6/1/2026
From Leaky Thoughts to Private Reasoning: Controlling What LRMs Say to Themselves
Large reasoning models leak sensitive information in reasoning traces; paper addresses controllability of private information in model outputs.
6/1/2026
The Global Landscape of Environmental AI Regulation: From the Cost of Reasoning to a Right to Green AI
Analysis of environmental costs of AI systems, comparing generative search and reasoning models to previous approaches.
6/1/2026
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
MASPOB uses bandit-based optimization with Graph Neural Networks to improve prompts for multi-agent LLM systems in complex workflows.
6/1/2026
NGDBench: Towards Neural Graph Data Management
NGDBench proposes next-generation neural data management systems supporting heterogeneous evolving data with implicit reasoning.
6/1/2026
Rank-Factorized Implicit Neural Bias: Scaling Super-Resolution Transformer with FlashAttention
Rank-Factorized Implicit Neural Bias improves Super-Resolution transformers by enabling FlashAttention without relative positional bias.
6/1/2026
Targeted Speaker Poisoning Framework in Zero-Shot Text-to-Speech
Speech Generation Speaker Poisoning framework removes specific speaker identities from zero-shot TTS models via machine unlearning.
6/1/2026
Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
Variational Routing applies Bayesian uncertainty quantification to Mixture-of-Experts transformers at foundation model scale.
6/1/2026
G-STAR: End-to-End Global Speaker-Tracking Attributed Recognition
G-STAR performs end-to-end speaker-attributed speech recognition for long-form multi-party overlapping speech with temporal consistency.
6/1/2026
Prompt Injection as Role Confusion
Research on prompt injection attacks as role confusion, showing LLMs identify text source by style rather than role labels, with measurement techniques.
6/1/2026
Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection
AxonAD detects multivariate time series anomalies by identifying shifts in cross-channel dependencies using attention mechanism analysis.
6/1/2026
REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge
REAL: Novel RL method for training LLMs-as-judges that respects ordinal structure of regression tasks instead of binary rewards.
6/1/2026
Empirical Characterization of Inference-Time Elicited Probability Transformations in Large Language Models
Empirical characterization of inference-time probability transformations in LLMs under chain-of-thought, refinement, and retrieval procedures.
6/1/2026
SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs
SimulCost benchmark for cost-aware evaluation of LLM agents on physics simulation tuning, addressing tool-use costs beyond tokens.
6/1/2026
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
Energy-based generative model for discrete graph data using transport-aligned energy matching for molecular and materials design.
6/1/2026
Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting
Temporal uncertainty dynamics modeling for probabilistic time series forecasting capturing volatility clustering and regime shifts.
6/1/2026
World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
World Action Verifier framework improving robustness of world models for planning via forward-inverse asymmetry exploitation.
6/1/2026
Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories
Video Diffusion Model learning joint distribution over videos and camera trajectories simultaneously for novel view synthesis.
6/1/2026
Symmetry Reveals Layerwise Dynamics: How Transformers Perform In-Context Classification
Interpretable transformer analysis for in-context classification via permutation equivariance constraints revealing layerwise dynamics.
6/1/2026
SVL: Goal-Conditioned Reinforcement Learning as Survival Learning
Survival Value Learning probabilistic approach to goal-conditioned RL improving stability and sample efficiency over temporal-difference methods.
6/1/2026
Compile to Compress: Boosting Formal Theorem Provers by Compiler Outputs
Compiler-assisted optimization for LLM-based formal theorem proving, exploiting compiler outputs to reduce test-time compute requirements.
6/1/2026
Aligning Dense Retrievers with LLM Utility via Distillation
Utility-Aligned Embeddings framework improving dense retrieval for RAG by distilling LLM utility signals without expensive re-ranking.
6/1/2026
Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection
Deep learning approach for real-time UAV-based bridge crack detection addressing weak features, degradation, imbalance, and computational constraints.
6/1/2026
FreeTimeGS++: Secrets of Dynamic Gaussian Splatting and Their Principles
Systematic analysis of 4D Gaussian Splatting methods identifying key factors driving performance in dynamic scene reconstruction.
6/1/2026
Autoregressive Visual Generation Needs a Prologue
Prologue approach bridging reconstruction-generation gap in autoregressive image generation by using separate tokens for each objective.
6/1/2026
OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
OBLIQ-Bench benchmark exposing limitations in modern retrievers for latent and implicit queries, advancing information retrieval evaluation.
6/1/2026
Why DDIM Hallucinates More Than DDPM: A Theoretical Analysis of Reverse Dynamics
Theoretical comparison of DDPM and DDIM diffusion samplers, analyzing why DDIM produces more hallucinations through reverse dynamics.
6/1/2026
Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
Vision-language model robustness improvement through multimodal interaction analysis to reduce hallucinations and handle corrupted modalities.
6/1/2026
Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
Theoretical analysis of spurious correlation learning in preference optimization methods like DPO, characterizing mechanisms, consequences, and mitigation strategies for LLM alignment.
6/1/2026
MAVEN A Multi-Agent Framework for Multicultural Text-to-Video Generation
MAVEN uses multi-agent prompt refinement framework with specialized agents handling person, action, and location dimensions to improve cultural fidelity in text-to-video generation.
6/1/2026
SEMA-RAG: A Self-Evolving Multi-Agent Retrieval-Augmented Generation Framework for Medical Reasoning
SEMA-RAG extends RAG with self-evolving multi-agent framework for medical reasoning, enabling multi-round retrieval aligned with clinical decision processes.
6/1/2026
FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics
FML-bench isolates AI research agent strategy impact by separating search topology from execution infrastructure, evaluating hill-climbing vs tree search.
6/1/2026
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
IBAL framework robustifies multi-agent RL by addressing interaction-breaking attacks that corrupt coordination structures between agents.
6/1/2026
PROWL: Prioritized Regret-Driven Optimization for World Model Learning
PROWL improves world model robustness by actively eliciting failures on rare, interaction-critical transitions using regret-driven optimization.
6/1/2026
Block-Based Double Decoders
Proposes block-based double decoders architecture combining decoder-only and encoder-decoder benefits with full loss supervision and efficient sequence packing.
6/1/2026
Chunking German Legal Code
Compares chunking strategies for RAG on German legal code, benchmarking structural, semantic, and hierarchical retrieval approaches.
6/1/2026
Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling
Agent JIT compilation optimizes computer-use agent latency by compiling multi-step action sequences into efficient execution plans, reducing LLM calls.
6/1/2026
The Distillation Game: Adaptive Attacks & Efficient Defenses
Analyzes model distillation as minimax game between utility-constrained teacher and adaptive student, proposing tractable defense strategies.
6/1/2026
Side-by-side Comparison Amplifies Dialect Bias in Language Models
Studies covert dialect bias in language models, showing side-by-side comparisons amplify disparities in how LMs associate traits with dialectal variations.
6/1/2026
Efficient Benchmarking Is Just Feature Selection and Multiple Regression
Reframes efficient LLM benchmarking as multiple regression with feature selection, improving prediction of full benchmark scores from partial question subsets.