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Natan Vidra
Observed name:
Vidra, Natan
Institution:
Cornell University
Observed institutions:
Cornell University,
Makerere University
OpenAlex ID:
A5093751283
Improving Retrieval for RAG based Question Answering Models on Financial Documents
2024
·
Setty, Spurthi
, Thakkar, Harsh
, et al.
·
RePEc: Research Papers in Economics
·
93
PDF
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
2024
·
Zhang, Liang
, Jijo, Katherine
, et al.
·
arXiv (Cornell University)
·
41
PDF
OrchestraBench: Evaluating Multi-Agent Orchestration Failure Modes, Recovery, and Decomposition Quality
2026
·
Chen, Yidian
, Gu, Yingzi
, et al.
·
arXiv (Cornell University)
·
2
PDF
Beyond Pass@k: Measuring Reliability and Security of Agentic Code Generation
2026
·
Jiang, Jiajun
, Zheng, Sharon
, et al.
·
arXiv (Cornell University)
·
1
PDF
DevIntent: How Much Does LLM-Generated Code Violate Developer Intent?
2026
·
Haing, Susana
, Vidra, Natan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Learning Compositional Meta-Routing for Agentic Workflows: An Executable Benchmark
2026
·
Vidra, Natan
, Kapanova, Alina
, et al.
·
arXiv (Cornell University)
·
1
PDF
EnterpriseSynth: Zero-Execution SFT and Evaluation Data from OpenAPI Specs
2026
·
Thimmaraju, Rashmi
, Vidra, Natan
, et al.
·
arXiv (Cornell University)
PDF
Posture and Sustainment Optimization Under Adversarial Uncertainty
2026
·
Norris, Amelie
, Lee, Alyssa
, et al.
·
arXiv (Cornell University)
PDF
AdvPlan-Bench: Adversarial Evaluation of Structured Plan-Generation Agents
2026
·
Kapanova, Alina
, Kanhai, Arun
, et al.
·
arXiv (Cornell University)
PDF
MetaRoute-Bench: Evaluating Meta-Decision Policies for Agentic Workflow Routing
2026
·
Vidra, Natan
, Kapanova, Alina
, et al.
·
arXiv (Cornell University)
PDF
Adversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation
2026
·
Vidra, Natan
, Kapanova, Alina
, et al.
·
arXiv (Cornell University)
PDF
Cross Lingual Transfer in Tulu Legal Comprehension: Script-Dependent Improvement and RAG-Induced Knowledge Conflict
2026
·
Sindhu Shetty
, Spurthi Setty
, et al.
PDF
Improving Classification Performance With Human Feedback: Label a few, we label the rest
2024
·
Vidra, Natan
, Clifford, Thomas
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
14
Citation count:
210
H-index:
3
I10-index:
3
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