Cover Image

Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choubey, Prafulla Kumar, Su, Xin, Luo, Man, Peng, Xiangyu, Xiong, Caiming, Le, Tiep, Rosenman, Shachar, Lal, Vasudev, Mui, Phil, Ho, Ricky, Howard, Phillip, Wu, Chien-Sheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
by: Rosenman, Shachar, et al.
Published: (2023)

Unanswerability Evaluation for Retrieval Augmented Generation
by: Peng, Xiangyu, et al.
Published: (2024)

DPO Learning with LLMs-Judge Signal for Computer Use Agents
by: Luo, Man, et al.
Published: (2025)

FastRM: An efficient and automatic explainability framework for multimodal generative models
by: Stan, Gabriela Ben-Melech, et al.
Published: (2024)

FiVL: A Framework for Improved Vision-Language Alignment through the Lens of Training, Evaluation and Explainability
by: Aflalo, Estelle, et al.
Published: (2024)

Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage
by: Xie, Kaige, et al.
Published: (2024)

Turning Conversations into Workflows: A Framework to Extract and Evaluate Dialog Workflows for Service AI Agents
by: Choubey, Prafulla Kumar, et al.
Published: (2025)

Benchmarking Deep Search over Heterogeneous Enterprise Data
by: Choubey, Prafulla Kumar, et al.
Published: (2025)

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
by: Su, Xin, et al.
Published: (2024)

Agentic Uncertainty Quantification
by: Zhang, Jiaxin, et al.
Published: (2026)

BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning
by: Xu, Xiao, et al.
Published: (2022)

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
by: Howard, Phillip, et al.
Published: (2023)

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
by: Howard, Phillip, et al.
Published: (2023)

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning
by: Ratzlaff, Neale, et al.
Published: (2024)

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
by: Su, Xin, et al.
Published: (2023)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
by: Madasu, Avinash, et al.
Published: (2025)

Pruning the Paradox: How CLIP's Most Informative Heads Enhance Performance While Amplifying Bias
by: Madasu, Avinash, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
by: Huang, Kung-Hsiang, et al.
Published: (2023)

Learning from Reasoning Failures via Synthetic Data Generation
by: Stan, Gabriela Ben Melech, et al.
Published: (2025)

Quantifying and Enabling the Interpretability of CLIP-like Models
by: Madasu, Avinash, et al.
Published: (2024)

SiReRAG: Indexing Similar and Related Information for Multihop Reasoning
by: Zhang, Nan, et al.
Published: (2024)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression
by: Kundu, Souvik, et al.
Published: (2025)

The Illusion of Certainty: Decoupling Capability and Calibration in On-Policy Distillation
by: Zhang, Jiaxin, et al.
Published: (2026)

CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions
by: Huang, Kung-Hsiang, et al.
Published: (2025)

Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
by: Chen, Haolin, et al.
Published: (2024)

Dont Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination
by: Choubey, Prafulla Kumar, et al.
Published: (2026)

Nudging the Boundaries of LLM Reasoning
by: Chen, Justin Chih-Yao, et al.
Published: (2025)

Agentic Confidence Calibration
by: Zhang, Jiaxin, et al.
Published: (2026)

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models
by: Madasu, Avinash, et al.
Published: (2023)

GTA: Generating Long-Horizon Tasks for Web Agents at Scale
by: Huang, Tenghao, et al.
Published: (2026)

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
by: Ratzlaff, Neale, et al.
Published: (2024)

ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement
by: Peng, Xiangyu, et al.
Published: (2024)

UNIDOC-BENCH: A Unified Benchmark for Document-Centric Multimodal RAG
by: Peng, Xiangyu, et al.
Published: (2025)

Shared Imagination: LLMs Hallucinate Alike
by: Zhou, Yilun, et al.
Published: (2024)

Probing the Representational Power of Sparse Autoencoders in Vision Models
by: Olson, Matthew Lyle, et al.
Published: (2025)

Debias your Large Multi-Modal Model at Test-Time via Non-Contrastive Visual Attribute Steering
by: Ratzlaff, Neale, et al.
Published: (2024)

Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders
by: Olson, Matthew Lyle, et al.
Published: (2025)

Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment
by: Laban, Philippe, et al.
Published: (2023)