Xinglin Wang
19 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Cross-Pollinator (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(43)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(17)
β‘
Prolific Year
(8)
β
The Questioner
π
Century Club
(17)
ποΈ
Keyword Collector
(84)
Conferences
ACL (7)
EMNLP (3)
AAAI (2)
ICLR (2)
NAACL (2)
NIPS (2)
EACL (1)
Top co-authors
Keywords
large language model
(9)
representation learning
(3)
chain-of-thought reasoning
(2)
mathematical reasoning
(2)
text generation
(2)
language model alignment
(2)
benchmark evaluation
(2)
attention mechanism
(1)
semantic search
(1)
self-supervised learning
(1)
instruction tuning
(1)
code generation
(1)
bert model
(1)
document retrieval
(1)
language understanding
(1)
in-context learning
(1)
adaptive sampling
(1)
dense retrieval
(1)
knowledge distillation
(1)
coreset selection
(1)
Papers
Do Retrieval Augmented Language Models Know When They Donβt Know?
AAAI 2026
LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient
ACL 2026
Speculative Decoding for Multi-Sample Inference
EMNLP 2025
From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen
ACL 2025
UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
ICLR 2025
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation
ACL 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
CogLM: Tracking Cognitive Development of Large Language Models
NAACL 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
Generative Dense Retrieval: Memory Can Be a Burden
EACL 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification
NIPS 2024
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
AAAI 2024
Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation
ACL 2024
BatchEval: Towards Human-like Text Evaluation
ACL 2024
Poor-Supervised Evaluation for SuperLLM via Mutual Consistency
ACL 2024
Focused Large Language Models are Stable Many-Shot Learners
EMNLP 2024
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
ICLR 2024
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation
NIPS 2023