← Authors

Songlin Yang

26 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (50) 🌍 Conference Polyglot (10) 🀝 Dynamic Duo (15) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (105) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (25)

Conferences

ACL (8) EMNLP (4) NIPS (3) AAAI (2) ICLR (2) ICML (2) NAACL (2) COLING (1) ICCV (1) IJCNLP (1)

Top co-authors

Kewei Tu (15) Wei Liu (4) Yoon Kim (4) Yikang Shen (3) bailin wang (3) Yanpeng Zhao (3) Jing Dong (3) Yushi Lan (2) Bo Peng (2) Yu Zhang (2)

Keywords

grammar induction (5) constituency parsing (5) probabilistic context-free grammar (4) syntactic parsing (4) neural network (3) tensor decomposition (3) language modeling (3) unsupervised parsing (3) bilexical dependency (2) projective parsing (2) pointer network (2) dependency parsing (2) span prediction (2) named entity recognition (2) bilexical dependencies (2) dynamic programming (2) attention mechanism (2) factor graph (2) nested named entity recognition (2) motion transfer (1)

Papers

Revisiting MLLM Based Image Quality Assessment: Errors and Remedy AAAI 2026
Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study ICLR 2025
Textured 3D Regenerative Morphing with 3D Diffusion Prior ICCV 2025
Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time ICML 2025
Gated Delta Networks: Improving Mamba2 with Delta Rule ICLR 2025
Parallelizing Linear Transformers with the Delta Rule over Sequence Length NIPS 2024
Learning Dense Correspondence for NeRF-Based Face Reenactment AAAI 2024
Gated Linear Attention Transformers with Hardware-Efficient Training ICML 2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling NIPS 2024
Hierarchically Gated Recurrent Neural Network for Sequence Modeling NIPS 2023
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars ACL 2023
Don’t Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection ACL 2023
Structured Mean-Field Variational Inference for Higher-Order Span-Based Semantic Role Labeling ACL 2023
Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks EMNLP 2023
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions EMNLP 2023
Improving Span Representation by Efficient Span-Level Attention EMNLP 2023
Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs NAACL 2022
Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing ACL 2022
Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks ACL 2022
Headed-Span-Based Projective Dependency Parsing ACL 2022
Semantic Dependency Parsing with Edge GNNs EMNLP 2022
Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing ACL 2022
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols NAACL 2021
Neural Bi-Lexicalized PCFG Induction IJCNLP 2021
Neural Bi-Lexicalized PCFG Induction ACL 2021
Second-Order Unsupervised Neural Dependency Parsing COLING 2020