Structured Output Generation

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3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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FinVector-Market-4B: A Controlled Study of LoRA Adaptation for Structured Financial Tasks
Oct 6, 2026Alina KhaybullinaDomain Adaptation for LLMs LLM Fine-Tuning
Independent Researcher
Type-Safe Is Not Error-Free: A Constrained Decision Head Follows the Option Name, Not the Rubric Bound to It
Sep 22, 2026Yu Sun, Junhao Xu, Jiajia Shi +1LLM Decision-Making Structured Output Generation
Fudan University · University of Science and Technology of China
Constrained Decoding Eliminates Structural Failures in Small LLMs but Reveals a Scale-Dependent Semantic Gap
Sep 20, 2026Akash ChavanConstrained Decoding LLM Evaluation
Separating Engineering Reasoning from DEXPI Serialization in LLM-Based Greenfield Surface-Process Design: A Three-Case Study for Underground Gas Storage
Sep 14, 2026Qingchuan Zhu, Shuyue Tong, Pengju RenStructured Output Generation LLM Reasoning
Sinopec Petroleum Engineering Zhongyuan Co., Ltd., No. 33 Zhengguang North Street, Zhengdong New District, Zhengzhou, Henan, China · Xi’an Jiaotong University, No. 28 Xianning West Road, Xi’an, Shaanxi 710049, P.R. China
Candidate-Expanding Routing with Permutation-Stabilized Experts for Mixed-Format Medical VQA
Sep 1, 2026Hai-Dang Nguyen, Huy-Hieu PhamMemory-Augmented VLMs Visual Question Answering
College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · Center for Innovations in Health Sciences, VinUniversity, Hanoi, Vietnam
GarmentWeaver: Schema-Aware Structured Synthesis for Multimodal Sewing Patterns
Aug 31, 2026Yinwen Lu, Weihao Luo, Yueqi ZhongConstrained Generative Modeling Multimodal Generation
Donghua University · College of Textiles · Shanghai, China +3
Generating Workflow DAGs from Natural Language with Non-Reasoning LLMs
Aug 31, 2026Anand Iyer, Bhanu Khetharpal, Srinivas Upadhya +1LLM-Based Program Synthesis Structured Output Generation
Microsoft
Your Prompt Is Not the Only Prompt: How Much Do LLMs Weight Structured-Output Schema Descriptions?
Aug 8, 2026Sin-Ying LinPrompt Sensitivity Structured Prompting
Independent Researcher
Grammar Engineering Meets LLMs: Development of Cantonese and Irish ParGram Treebanks
Aug 7, 2026Chit-Fung Lam, Elaine Uí DhonnchadhaMultilingual Language Model Evaluation Structured Output Generation
University of Oxford · University of Manchester · Trinity College Dublin
SeaSlides: Semantic Abstraction Layer for Agentic Slide Generation
Aug 4, 2026Shengjun Fang, Chenyang Wu, Zongzhang ZhangStructured Output Generation Agentic AI
National Key Laboratory for Novel Software Technology, Nanjing University, China · School of Artificial Intelligence, Nanjing University, China
SciSchema.org: A Multidisciplinary Collection of Schemas for Structured Scientific Process Descriptions
Jul 30, 2026Jennifer D'Souza, Sameer Sadruddin, Anisa Rula +23Knowledge Representation Structured Output Generation
TIB Leibniz Information Centre for Science and Technology, Hannover, Germany · University of Brescia, Brescia, Italy · University of Alicante, Alicante, Spain +15
Closed-Loop Validation-Repair for Healthcare Interoperability: A Multi-Model Study of Schema Compliance in Clinical LLMs
Jul 27, 2026Jianru ShenLLM Self-Correction Healthcare
University of Montana, Missoula, MT 59812, USA
Pointer-Augmented Autoregressive Generation of Patent Claims with Joint Topology and Content Decoding
Jul 27, 2026Yongmin Yoo, Zhangkai Wu, Longbing CaoAutoregressive Generation Structured Output Generation
Frontier AI Research Centre, Macquarie University · School of Computing, FSE, Macquarie University
Structured Output Collapses Answer Diversity Across 44 Language Models
Jul 20, 2026Tapan ParikhLLM Evaluation Structured Prompting
Cornell Tech
Persona-as-Configuration: Generative Stakeholder Reporting for Agricultural Floods
Jul 20, 2026Oliver Aleksander Larsen, Tiziano Santilli, Francesco Daghero +1Cyber-Physical Systems Structured Output Generation
University of Southern Denmark, Maersk Mc-Kinney Moller Institute, Odense, Denmark
Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation
Jul 15, 2026Dimple Vijay Kochar, Hae-Seung Lee, Anantha P. ChandrakasanElectronic Design Automation LLM Agents
Massachusetts Institute of Technology · Cambridge, MA, USA
Amplitude-Only FFN Intervention for Tool-Structured LLM Inference Method: Gated Evaluation Protocol, and Cross-Model Empirical Results
Jul 13, 2026Sheng Xu, Junhua Wang, Boyuan Huang +3LLM Inference LLM Tool Use
Alibaba Cloud
TAG: A Lightweight Framework for Test-Driven Agentic Artifact Generation
Jul 1, 2026Yaniv Melamed, Yoni Zukerman, Michal Shechter +3Structured Output Generation Generative AI Evaluation
1Microsoft
When Can Conformal Risk Control Certify LLM Outputs? Bounds, Impossibility, and Adaptation for Structured Generation
Jun 27, 2026Varun KotteConformal Prediction LLM Reliability
Independent Researcher
Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints
Jun 24, 2026Fangzheng Li, Aimin Zhang, Chen LvConstrained Decoding LLM Tool Use
1Focus AI Center, Focus Technology Co., Ltd. · 2Nanjing University of Science and Technology
POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Generation
Jun 22, 2026Hung Phan, Aniroop Naladala, Dubey Avanindra +3LLM Fine-Tuning Structured Output Generation
Iowa State University · Oak Ridge Nat. Laboratory
A Dual-Track Framework for Template-Constrained LaTeX Conversion
Jun 22, 2026Chung Cheuk Hei, Liu LiStructured Output Generation
The Hong Kong University of Science and Technology (Guangzhou)
SCENIC: Semantic-Conditioned Edge-Aware Neural Framework for Structured IoT Command Generation
Jun 21, 2026Luke Ztz Hu, Hongbing Lang, Songping MaiEdge Inference Internet of Things
Tsinghua Shenzhen International Graduate School, Shenzhen, Guangdong, 518055 China · Shenzhen Belon Technology Co., Ltd., Shenzhen, China
Dense Coordinate-List Fine-Tuning Induces a Controllable Interference Surface in Vision-Language Models
Jun 12, 2026Chenyu Zhou, Qiliang Jiang, Boguang PanVLM Adaptation Vision-Language Grounding
School of Engineering, Institute of Science Tokyo, Japan · College of Control Science and Engineering, Zhejiang University, China · Graduate School of Information, Production and Systems, Waseda University
Vector Map as Language: Toward Unified Remote Sensing Vector Mapping
Jun 9, 2026Yinglong Yan, Yunkai Yang, Haoyi Wang +7Remote Sensing Image Understanding Vision-Language Models
school of Artificial Intelligence and Robotics, Hunan University, Changsha 410082, China · Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong · Department of Geomatics Engineering, Changsha University of Science and Technology, Changsha 410114, China +1
Capacity, Not Format: Rethinking Structured Reasoning Failures
Jun 8, 2026Hengxin FanLLM Evaluation Structured Prompting
Tianjin Normal University
Ishigaki-IDS: An Open-Weight Verifier-Aware Model for Information Delivery Specification Drafting in Building Information Modeling
Jun 7, 2026Ryo Kanazawa, Koyo Hidaka, Teppei Miyamoto +9Building Information Modeling Structured Output Generation
ONESTRUCTION Inc. · Tottori, Japan · AWS GenAI Innovation +2
Plans for Evaluating Structured Generative Search Summaries
May 26, 2026Tetsuya Sakai, Jina Lee, Hanpei Fang +1Language Model Generation Evaluation Summarization Evaluation
Waseda University/Naver Corporation · Tokyo, Japan · Waseda University +2
Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
May 21, 2026Ryo Kanazawa, Koyo Hidaka, Teppei Miyamoto +9LLM Evaluation Benchmark Construction
ONESTRUCTION Inc. Tottori, Japan · AWS GenAI Innovation Center Tokyo, Japan
The Constraint Tax: Measuring Validity-Correctness Tradeoffs in Structured Outputs for Small Language Models
May 20, 2026Jaideep RayConstrained Decoding Small Language Models
TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints
May 13, 2026Yoshio Kato, Shuhei TarashimaConstrained Decoding Structured Output Generation
NTT DOCOMO BUSINESS, Inc., Japan
The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs
May 9, 2026Xin Li, Hao Jiang, Annan Wang +2On-Policy Distillation Structured Output Generation
Nanyang Technological University, Singapore
Uncertainty-Aware Structured Data Extraction from Full CMR Reports via Distilled LLMs
May 8, 2026Yi Yu, Parker Martin, Zhenyu Bu +5Clinical Information Extraction LLM Information Extraction
†The Ohio State University · ‡NetMind.AI
Interactive Critique-Revision Training for Reliable Structured LLM Generation
May 8, 2026Fei Xu Yu, Zuyuan Zhang, Mahdi Imani +2LLM Self-Refinement Group Relative Policy Optimization
The George Washington University · Northeastern University · United States Military Academy
Paraphrase-Induced Output-Mode Collapse: When LLMs Break Character Under Semantically Equivalent Inputs
May 6, 2026Aofan Liu, Jingxiang MengPrompt Sensitivity LLM Evaluation
1Peking University. · University of Chicago.
When Correct Isn't Usable: Improving Structured Output Reliability in Small Language Models
May 4, 2026Cosimo Galeone, Minsu Park, Giuseppe Ettorre +1LLM Evaluation LLM Prompting
Alomana, Grottaglie, Italy
Format Sensitivity Index: Token-Controlled Prompt Wrapper Robustness and Schema Compliance in LLM Benchmarking
May 2, 2026Deep Pankajbhai MehtaPrompt Sensitivity LLM Evaluation
Adobe Inc.
From World-Gen to Quest-Line: A Dependency-Driven Prompt Pipeline for Coherent RPG Generation
Apr 28, 2026Dominik Borawski, Marta Szulc, Robert Chudy +2LLM Prompting Generative Modeling
Gda´nsk University of Technology
The Structured Output Benchmark: A Multi-Source Benchmark for Evaluating Structured Output Quality in Large Language Models
Apr 28, 2026Abhinav Kumar Singh, Harsha Vardhan Khurdula, Yoeven D Khemlani +1LLM Evaluation LLM Information Extraction
1New Delhi, India · JigsawStack, Inc. 2San Francisco, CA, USA · 3Durgapur, WB, India
LatticeBridge: Rare-Event Sequential Inference for Faithful Structured Sequence Synthesis
Apr 22, 2026Faruk Alpay, Bugra KilictasConstrained Decoding Grounded Text Generation
Department of Computer Engineering, Bahcesehir University
When Agents Go Quiet: Output Generation Capacity and Format-Cost Separation for LLM Document Synthesis
Apr 17, 2026Justice Owusu Agyemang, Michael Agyare, Miriam Kobbinah +2LLM Inference Efficiency Long-Form Document Generation
Sperix Labs · GCTU, Ghana · NCA, Ghana +1
The Hidden Cost of Structured Generation in LLMs: Draft-Conditioned Constrained Decoding
Feb 8, 2026Avinash Reddy, Thayne T. Walker, James S. Ide +1Constrained Generative Modeling Constrained Decoding
Department of Computer Science, University of Central Florida, FL, US · Lockheed Martin AI Center, CT, US
KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
Dec 10, 2025Xin Sun, Zhongqi Chen, Xing Zheng +6LLM Grounding RL for Language Model Reasoning
University of Science and Technology of China, Hefei, China · Independent · Institute of Automation, Chinese Academy of Sciences, Beijing, China.
LatentMD: Benchmarking Markdown Boundary Failures in LLM-Generated Text
Date pendingSungjune Lee, Myungjoo KangLLM Evaluation Structured Output Generation
Seoul National University

Oct 6, 2026, cs.LGJ/K move · Enter open · S save

FinVector-Market-4B: A Controlled Study of LoRA Adaptation for Structured Financial Tasks

Alina Khaybullina

Independent Researcher

Domain Adaptation for LLMs LLM Fine-Tuning Financial QA Low-Rank Adaptation Numerical Reasoning in Language Models Structured Output Generation

Open paper AskPDF arXiv

FinVector-Market-4B adapts Qwen/Qwen3.5-4B with rank-16 LoRA on a 22,000-example corpus for structured financial tasks. We evaluate the base and adapted models on the same 600-example benchmark under implicit and explicit JSON-schema contracts. Supplying the schema alone raises base-model JSON validity from 0% to 91.3%. Under matched explicit prompting, the frozen scores improve from 14.7% to 40.0% for FinQA answer exact match, from 48.0% to 82.7% for calculator-expression correctness, from 20.1% to 89.5% for scenario branch-label agreement, and from 52.4% to 87.2% for implication-direction agreement. A post-hoc policy-scoring audit shows that the reported macro-F1 decline reflects a changing label set; using the same three target classes gives 77.4% for the base and 83.1% for the adapter. Filing overlap and calculator-target inconsistencies qualify the benchmark's generalization claims. The results show that compact financial domain adaptation can produce substantial task-specific gains beyond output-format learning under matched prompting, with gains bounded by the evaluated task distribution and prompt contract.

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Latest papers 44