Kan Li
35 papers · 2016–2026 · 8 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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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (68) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Half
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Dynamic Duo
(27)
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Top co-authors
Research topics
Machine Learning
(27)
Artificial Intelligence
(20)
Core AI
(20)
Deep Learning
(16)
Natural Language Processing
(15)
Learning Types Β· Machine Learning
(14)
Generation
(12)
Learning Types Β· Deep Learning
(10)
Application Areas
(9)
Core Methods
(8)
Optimization & Theory
(8)
Models
(5)
Resources & Methods
(4)
Computer Vision
(2)
Analysis
(2)
Keywords
large language model
(9)
dialogue generation
(9)
knowledge distillation
(6)
representation learning
(4)
variational inference
(3)
latent variable model
(3)
collaborative learning
(3)
text generation
(3)
chain-of-thought reasoning
(3)
dialogue system
(3)
latent variable
(3)
parameter efficient
(2)
model compression
(2)
model alignment
(2)
response generation
(2)
language model alignment
(2)
benchmark evaluation
(2)
mathematical reasoning
(2)
noisy label learning
(2)
self-supervised learning
(2)
Papers
Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels
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
Combating Semantic Contamination in Learning with Label Noise
AAAI 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
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation
ACL 2024
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
ICLR 2024
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios
ACL 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
Heterogeneous-Branch Collaborative Learning for Dialogue Generation
AAAI 2023
Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
AAAI 2023
Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue
ACL 2023
Diversifying Neural Dialogue Generation via Negative Distillation
NAACL 2022
Hierarchical Inductive Transfer for Continual Dialogue Learning
ACL 2022
Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder
EMNLP 2022
Collaborative Group Learning
AAAI 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
ACL 2021
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
AAAI 2021
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation
AAAI 2020
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
AAAI 2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios
EMNLP 2020
Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation
IJCAI 2018
A Generative Model for Recognizing Mixed Group Activities in Still Images
IJCAI 2016