Data Generation

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Period ending 2026-09-21

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Period ending 2026-09-14

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200 papers

Latest in Data Generation

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Reinforcement Learning with a Bilevel World-Model Architecture for Scan-Order Optimisation in Laser Directed Energy Deposition
May 24, 2026Xian Wu, Haoran Li, Yuanqi Chu +2Sequential Decision Making Data Generation
Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs
May 23, 2026Jianan Li, Simeng Qin, Xiaojun Jia +5Large Language Model Jailbreaks Jailbreak Evaluations
Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion
May 22, 2026Jaejun Lee, Seheon Kim, Joyce Jiyoung WhangKnowledge Graphs Hypergraphs
Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
May 21, 2026Ryo Kanazawa, Koyo Hidaka, Teppei Miyamoto +9Building Information Modeling Data Generation
PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration
May 20, 2026Cunxi Dai, Haoran Chang, Aditya Nisal +5Bimanual Manipulation Robotic Manipulation Policies
DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation
May 20, 2026Hanxiang Ren, Pei Zhou, Xunzhe Zhou +1Language-Conditioning Space Policy Visuomotor Policy
Latent Process Generator Matching
May 19, 2026Lukas Billera, Hedwig Nora Nordlinder, Ben MurrellGenerators Latent Variable
Vision Foundation Models as Generalist Tokenizers for Image Generation
May 18, 2026Anlin Zheng, Qi Han, Xin Wen +5Visual Tokens Image Generation
Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions
May 15, 2026Sipeng Chen, Junliang Liu, Hewei Tang +1Conditional Flow Matching Shallow Water Equations
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
May 15, 2026Chaoqun You, Yueyue Dai, Xingqiu He +3Open Radio Access Networks Optimal Scheduling
RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations
May 15, 2026Yanhao Ge, Shanyan Guan, Weihao Wang +2Video Latents Neural Fields
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
May 15, 2026Xiaoyan Su, Peijie Dong, Zhenheng Tang +8Diagrams Diagnostic Benchmark
Reasoning Models Don't Just Think Longer, They Move Differently
May 14, 2026Anders Gjølbye, Lars Kai Hansen, Sanmi KoyejoLarge Reasoning Models Chain-of-Thought Reasoning
Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets
May 14, 2026Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer +17Benchmark Datasets Metadata
PBT-Bench: Benchmarking AI Agents on Property-Based Testing
May 13, 2026Lucas Jing, Xinqi Wang, Liao Zhang +1Agentic Benchmarks Test Generation
Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers
May 13, 2026Evelyn Turri, Davide Bucciarelli, Sara Sarto +2Data Generation
Learning Local Constraints for Reinforcement-Learned Content Generators
May 13, 2026Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis +1Motion Generation Constraint Satisfaction
AcquisitionSynthesis: Targeted Data Generation using Acquisition Functions
May 13, 2026Ishika Agarwal, Sofia Stoica, Emre Can Acikgoz +4Synthetic Data Data Generation
LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
May 13, 2026Guoxiong Gao, Zeming Sun, Jiedong Jiang +5Theorem Retrieval Strategies
Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
May 13, 2026Yejin Lee, Yo-Sub HanDiffusion Language Models Autoregressive Language Models
Predicting Disagreement with Human Raters in LLM-as-a-Judge Difficulty Assessment without Using Generation-Time Probability Signals
May 12, 2026Yo EharaLlm-As-A-Judge Mean Opinion Scores
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May 12, 2026Xin Cheng, Xihua Wang, Ying Ba +5Joint Audio-Video Generation Spatio-Temporal Coherence
Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving
May 12, 2026Shuo Xu, Jiakun Zhang, Junyu Lai +2Theorem Step-Level Supervision
Probabilistic Calibration Is a Trainable Capability in Language Models
May 12, 2026Davide Baldelli, Sruthi Kuriakose, Maryam Hashemzadeh +2Training Language Models Finetuning
Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRs
May 11, 2026Abrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy +1Electronic Health Records Data Generation
Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding
May 11, 2026Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi +2Multimodal Documents Retrieval-Augmented Generation Systems
Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
May 10, 2026Bian Sun, Kevin Zhai, Mubarak Shah +1Diffusion Language Models Text Generation
Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
May 8, 2026Hanhan Zhou, Shamik Roy, Rashmi GangadharaiahDiffusion Language Models Steering
MoCoTalk: Multi-Conditional Diffusion with Adaptive Router for Controllable Talking Head Generation
May 8, 2026Xinyan Ye, Jiankang Deng, Abbas EdalatFacial Animation Talk
Tool Calling is Linearly Readable and Steerable in Language Models
May 8, 2026Zekun Wu, Ze Wang, Seonglae Cho +4Call Multi-Turn Tool-Use Agent
Open-Ended Task Discovery via Bayesian Optimization
May 8, 2026Masaki Adachi, Yuta Suzuki, Juliusz ZiomekBayesian Optimization Bayesian
Coupling Models for One-Step Discrete Generation
May 8, 2026Fred Zhangzhi Peng, Avishek Joey Bose, Anru R. Zhang +1Generative Models Data Generation
Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models
May 6, 2026Mingda Li, Rundong Lv, Xinyu Li +2Large Language Model Uncertainty Large Language Model Generation
Revisiting the Travel Planning Capabilities of Large Language Models
May 5, 2026Bo-Wen Zhang, Jin Ye, Peng-Yu Hua +4Large Language Model Planning Large Language Model Reasoning
Fine-Grained Graph Generation through Latent Mixture Scheduling
May 4, 2026Nidhi Vakil, Hadi AmiriData Generation Variational Autoencoder
Skipping the Zeros in Diffusion Models for Sparse Data Generation
May 3, 2026Phil Sidney Ostheimer, Mayank Nagda, Andriy Balinskyy +6Discrete Diffusion Model Sparsity
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May 3, 2026Srihari Unnikrishnan, Jaskaran Singh Walia, Drishti Goel +1Incident Response Cloud
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May 2, 2026Ke Qiu, Yawen Qin, Tianzhi Jia +3Co-Speech Gesture Generation Audio Latent
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May 1, 2026Yuxin Lu, Jiayang Sun, Guibo Zhu +1Joint Audio-Video Generation Talk
Escaping Mode Collapse in LLM Generation via Geometric Regulation
May 1, 2026Xin Du, Kumiko Tanaka-IshiiLarge Language Model Generation Autoregressive Generation
Generate Your Talking Avatar from Video Reference
Apr 30, 2026Zujin Guo, Zhenhui Ye, Yi Ren +4Avatars Video Pretraining
Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
Apr 30, 2026Md Hasan Saju, Akramul AzimSecurity Triage
Accurate and Robust Generative Approach for Overcoming Data Sparsity and Imbalance in Landslide Modeling with A Tabular Foundation Model
Apr 28, 2026Kaixuan Shao, Gang Mei, Yinghan Wu +2Landslides Tabular Foundation Models
Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components
Apr 27, 2026Griffin Pitts, Muntasir Hoq, Peter Brusilovsky +4Code Generation Data Generation
On the Trainability of Masked Diffusion Language Models via Blockwise Locality
Apr 27, 2026Yuxiang Wang, Yu Xiang, Baojian Zhou +4Masked Diffusion Language Models Autoregressive Language Models
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Apr 25, 2026Yahui Li, Yinfeng Yu, Liejun Wang +1Spatio-Temporal Coherence Spatial Attention
Evaluating AI Meeting Summaries with a Reusable Cross-Domain Pipeline
Apr 23, 2026Philip Zhong, Don Wang, Jason ZhangSessions Data Generation
On Reasoning Behind Next Occupation Recommendation
Apr 23, 2026Shan Dong, Palakorn Achananuparp, Hieu Hien Mai +3Large Language Model Reasoning Llm-As-A-Judge
Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation
Apr 22, 2026Xuhong He, To Eun Kim, Maik Fröbe +3Multilingual Benchmark Multilingual
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Apr 22, 2026Gricel Vázquez, Alexandros Evangelidis, Sepeedeh Shahbeigi +2Llm-Driven Task Synthesis
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Formally Verified Patent Analysis via Dependent Type Theory: Machine-Checkable Certificates from a Hybrid AI + Lean 4 Pipeline
Apr 20, 2026George KoomullilPatent Formal Verification
Adversarial Arena: Crowdsourcing Data Generation through Interactive Competition
Apr 20, 2026Prasoon Goyal, Sattvik Sahai, Michael Johnston +14Large Language Model Generation Conversational Datasets
Probabilistic Programs of Thought
Apr 19, 2026Poorva Garg, Renato Lui Geh, Daniel Israel +3Code Generation Large Language Model Reasoning
From Necklaces to Coalitions: Fair and Self-Interested Distribution of Coalition Value Calculations
Apr 18, 2026Terry R. Payne, Luke RileyCoalition Formation Imperfect-Information Games
Efficient Punctuation Restoration via Weighted Lookahead Scoring Method for Streaming ASR Systems
Apr 18, 2026Sungmook Woo, Hyungu Kang, Chanwoo KimPronoun Data Generation
How Hypocritical Is Your LLM judge? Listener-Speaker Asymmetries in the Pragmatic Competence of Large Language Models
Apr 17, 2026Judith Sieker, Sina ZarrießLarge Language Model Judges Linguistics

May 24, 2026 · cs.LGJ/K move · Enter open · S save

Reinforcement Learning with a Bilevel World-Model Architecture for Scan-Order Optimisation in Laser Directed Energy Deposition

Xian Wu, Haoran Li, Yuanqi Chu, Dongbin Zhao+1

aCollege of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, UB8 3PH, United Kingdom · bThe State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China

Scan-order design in laser directed energy deposition (LDED) is a delayed, path-dependent thermo-mechanical decision problem, because sequence quality becomes observable only after the complete deposition and cooling cycle. This work formulates LDED scan-order optimisation as a finite-horizon, permutation-constrained reinforcement-learning problem and develops a bilevel finite-element-teacher-labelled AI workflow. A surrogate-assisted teacher-guided optimisation loop learns the Abaqus-labelled response landscape and provides a tractable terminal-reward environment for policy training. A frozen Maskable Proximal Policy Optimization (MaskablePPO) policy is then used to generate legal scan-order candidates, which are independently validated through Abaqus thermo-mechanical simulations. The results show bounded, N-dependent policy-generation value rather than record-level dominance over the mature surrogate-assisted optimiser. The strongest scan orders are obtained by the teacher-guided surrogate loop, whereas PPO autonomously reaches competitive regions of the native response landscape, with stronger rank concentration at smaller track counts and a clear reliability boundary at longer horizons. The teacher-labelled landscape further supports a physically gated lexicographic reward hierarchy in which warpage admissibility is the primary constraint, plastic strain acts as a safety filter and residual-stress-related improvement is pursued conditionally within the admissible region. Validated sequences also reveal an interpretable scale-separated ordering tendency that combines global spatial dispersion with local structured grouping. This workflow provides a route from fixed scan-rule selection toward finite-element-teacher-validated policy generation, while preserving independent finite-element validation as the final physical gate.

Sequential Decision Making Data Generation World Models

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