Xi Victoria Lin
31 papers · 2016–2025 · 6 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.
Achievements
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(11)
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(5)
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Research topics
Natural Language Processing
(25)
Machine Learning
(19)
Artificial Intelligence
(15)
Applications
(15)
Deep Learning
(13)
Core AI
(13)
Learning Types Β· Machine Learning
(12)
Resources & Methods
(11)
Generation
(10)
Application Areas
(7)
Models
(6)
Learning Types Β· Deep Learning
(5)
Core Methods
(3)
Optimization & Theory
(3)
Understanding
(3)
Keywords
semantic parsing
(7)
large language model
(7)
language model
(6)
retrieval-augmented generation
(4)
cross-domain parsing
(2)
zero-shot learning
(2)
natural language inference
(2)
in-context learning
(2)
semi-parametric model
(2)
instruction tuning
(2)
question answering
(2)
schema linking
(2)
knowledge graph
(2)
knowledge-intensive task
(2)
model compression
(2)
cross-lingual transfer
(2)
knowledge distillation
(1)
knowledge transfer
(1)
logical reasoning
(1)
natural language processing
(1)
Papers
DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
ACL 2025
ImpRAG: Retrieval-Augmented Generation with Implicit Queries
EMNLP 2025
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
ICML 2025
FOLIO: Natural Language Reasoning with First-Order Logic
EMNLP 2024
In-Context Pretraining: Language Modeling Beyond Document Boundaries
ICLR 2024
Instruction-tuned Language Models are Better Knowledge Learners
ACL 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
NeurIPS 2024
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
ICLR 2024
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
NeurIPS 2024
LEVER: Learning to Verify Language-to-Code Generation with Execution
ICML 2023
Reimagining Retrieval Augmented Language Models for Answering Queries
ACL 2023
Towards A Unified View of Sparse Feed-Forward Network in Pretraining Large Language Model
EMNLP 2023
Training Trajectories of Language Models Across Scales
ACL 2023
Efficient Large Scale Language Modeling with Mixtures of Experts
EMNLP 2022
Few-shot Learning with Multilingual Generative Language Models
EMNLP 2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
NAACL 2022
On Continual Model Refinement in Out-of-Distribution Data Streams
ACL 2022
DART: Open-Domain Structured Data Record to Text Generation
NAACL 2021
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
ICLR 2021
Learning to Synthesize Data for Semantic Parsing
NAACL 2021
Stage-wise Fine-tuning for Graph-to-Text Generation
ACL 2021
Testing Cross-Database Semantic Parsers With Canonical Utterances
EMNLP 2021
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing
EMNLP 2020
ColloQL: Robust Text-to-SQL Over Search Queries
EMNLP 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
ACL 2020
Photon: A Robust Cross-Domain Text-to-SQL System
ACL 2020
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
EMNLP 2019
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
EMNLP 2019
SParC: Cross-Domain Semantic Parsing in Context
ACL 2019
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
EMNLP 2018
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
ACL 2016