Shaoxiong Feng
27 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
(22)
Artificial Intelligence
(18)
Core AI
(18)
Deep Learning
(13)
Natural Language Processing
(13)
Generation
(10)
Learning Types Β· Machine Learning
(10)
Application Areas
(9)
Optimization & Theory
(8)
Learning Types Β· Deep Learning
(7)
Core Methods
(6)
Models
(5)
Resources & Methods
(4)
Architectures
(2)
Bayesian & Probabilistic
(2)
Keywords
large language model
(9)
dialogue generation
(7)
knowledge distillation
(5)
dialogue system
(3)
chain-of-thought reasoning
(3)
representation learning
(3)
multi-step reasoning
(2)
model compression
(2)
latent variable
(2)
mathematical reasoning
(2)
benchmark evaluation
(2)
collaborative learning
(2)
parameter efficient
(2)
conditional variational autoencoder
(2)
language model alignment
(2)
response generation
(2)
feature representation
(2)
text generation
(2)
model alignment
(2)
knowledge transfer
(1)
Papers
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
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
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
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
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
AAAI 2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios
EMNLP 2020