Xiangru Tang
29 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Natural Language Processing
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Artificial Intelligence
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Generation
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Learning Types Β· Machine Learning
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Healthcare & Medicine
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Keywords
large language model
(16)
benchmark evaluation
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retrieval-augmented generation
(4)
table-to-text generation
(3)
factual consistency
(3)
few-shot learning
(3)
prompt engineering
(3)
instruction tuning
(3)
medical reasoning
(2)
in-context learning
(2)
zero-shot generalization
(2)
data contamination
(2)
question answering
(2)
natural language generation
(2)
zero-shot learning
(2)
code generation
(2)
dialogue summarization
(2)
claim verification
(1)
adversarial robustness
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self-supervised learning
(1)
Papers
ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning
ICLR 2025
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
EMNLP 2025
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards
EMNLP 2025
OAgents: An Empirical Study of Building Effective Agents
EMNLP 2025
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
ICLR 2025
Self-Supervised Prompt Optimization
EMNLP 2025
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
ACL 2024
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents
EMNLP 2024
Investigating Data Contamination in Modern Benchmarks for Large Language Models
NAACL 2024
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
ACL 2024
MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications
EMNLP 2024
OctoPack: Instruction Tuning Code Large Language Models
ICLR 2024
OpenT2T: An Open-Source Toolkit for Table-to-Text Generation
EMNLP 2024
PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
EMNLP 2024
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
NAACL 2024
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
ICLR 2024
Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation
ACL 2024
Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning
ACL 2023
Crosslingual Generalization through Multitask Finetuning
ACL 2023
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning
ACL 2023
Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios
EMNLP 2023
QTSumm: Query-Focused Summarization over Tabular Data
EMNLP 2023
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations
ACL 2023
RWKV: Reinventing RNNs for the Transformer Era
EMNLP 2023
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
NAACL 2022
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries
NAACL 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
DART: Open-Domain Structured Data Record to Text Generation
NAACL 2021
CUHK at SemEval-2020 Task 4: CommonSense Explanation, Reasoning and Prediction with Multi-task Learning
SemEval 2020