Jiazhan Feng
16 papers · 2019–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (6)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(42)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(15)
β
The Questioner
β‘
Prolific Year
(5)
π
Trend Setter
π
Century Club
(16)
ποΈ
Keyword Collector
(73)
Conferences
ACL (8)
EMNLP (3)
COLING (1)
ICLR (1)
IJCAI (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
response selection
(7)
dialogue system
(4)
multi-turn dialogue
(4)
knowledge distillation
(4)
language model
(3)
information retrieval
(3)
knowledge-grounded dialogue
(3)
retrieval-based dialogue
(3)
retrieval-augmented generation
(3)
inference acceleration
(2)
knowledge-grounded conversation
(2)
knowledge selection
(2)
student model
(2)
model compression
(2)
pre-training strategy
(2)
instruction tuning
(1)
computational efficiency
(1)
passage retrieval
(1)
attention mechanism
(1)
zero-shot learning
(1)
Papers
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
ICLR 2024
Language Models can be Deductive Solvers
NAACL 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval
ACL 2024
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning
EMNLP 2023
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection
ACL 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
ACL 2023
Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination
ACL 2023
FAA: Fine-grained Attention Alignment for Cascade Document Ranking
ACL 2023
Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations
COLING 2022
Multi-Granularity Structural Knowledge Distillation for Language Model Compression
ACL 2022
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook
EMNLP 2022
How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection
EMNLP 2022
A Survey on Response Selection for Retrieval-based Dialogues
IJCAI 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations
IJCNLP 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations
ACL 2021
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems
ACL 2019