Xinglin Wang
19 papers · 2023–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (43) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (18) 🗃️ Keyword Collector (92)
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The Questioner
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Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(16)
Artificial Intelligence
(14)
Core AI
(13)
Natural Language Processing
(8)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(7)
Learning Types · Machine Learning
(7)
Core Methods
(6)
Application Areas
(5)
Resources & Methods
(5)
Generation
(4)
Learning Types · Deep Learning
(4)
Applications
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
large language model
(9)
chain-of-thought reasoning
(3)
representation learning
(3)
text generation
(2)
language model alignment
(2)
benchmark evaluation
(2)
mathematical reasoning
(2)
model alignment
(2)
multi-step reasoning
(2)
self-supervised learning
(1)
model evaluation
(1)
preference learning
(1)
semantic search
(1)
code generation
(1)
language understanding
(1)
in-context learning
(1)
adaptive sampling
(1)
knowledge distillation
(1)
document retrieval
(1)
bert model
(1)
Papers
Do Retrieval Augmented Language Models Know When They Don’t Know?
AAAI 2026
LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient
ACL 2026
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
ACL 2025
CogLM: Tracking Cognitive Development of Large Language Models
NAACL 2025
From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen
ACL 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning
NAACL 2025
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation
ACL 2025
Speculative Decoding for Multi-Sample Inference
EMNLP 2025
UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
ICLR 2025
BatchEval: Towards Human-like Text Evaluation
ACL 2024
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
ICLR 2024
Focused Large Language Models are Stable Many-Shot Learners
EMNLP 2024
Generative Dense Retrieval: Memory Can Be a Burden
EACL 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification
NeurIPS 2024
Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation
ACL 2024
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
ACL 2024
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
AAAI 2024
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation
NeurIPS 2023