Kaiqiang Song
34 papers · 2018–2025 · 10 venues · across top CS/AI venues
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Natural Language Processing
(22)
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Deep Learning
(15)
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Learning Types Β· Deep Learning
(10)
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Keywords
abstractive summarization
(9)
large language model
(8)
text generation
(7)
extractive summarization
(4)
benchmark evaluation
(4)
instruction following
(3)
text summarization
(3)
natural language generation
(3)
multimodal learning
(3)
neural summarization
(2)
sentence embedding
(2)
language model
(2)
sports analytics
(2)
multi-document summarization
(2)
narrative understanding
(2)
dependency parsing
(2)
zero-shot learning
(2)
semantic analysis
(2)
instruction tuning
(2)
machine translation
(1)
Papers
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
ICLR 2025
VC4VG: Optimizing Video Captions for Text-to-Video Generation
EMNLP 2025
Benchmarking and Improving Long-Text Translation with Large Language Models
ACL 2024
Event Semantic Classification in Context
EACL 2024
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets
EMNLP 2024
InFoBench: Evaluating Instruction Following Ability in Large Language Models
ACL 2024
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning
NAACL 2024
Polarity Calibration for Opinion Summarization
NAACL 2024
Skills-in-Context: Unlocking Compositionality in Large Language Models
EMNLP 2024
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs
ACL 2024
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives
EMNLP 2024
WPO: Enhancing RLHF with Weighted Preference Optimization
EMNLP 2024
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations
EMNLP 2023
DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4
EMNLP 2023
Effidit: An Assistant for Improving Writing Efficiency
ACL 2023
Generating User-Engaging News Headlines
ACL 2023
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method
EACL 2023
OASum: Large-Scale Open Domain Aspect-based Summarization
ACL 2023
PIVOINE: Instruction Tuning for Open-world Entity Profiling
EMNLP 2023
Unsupervised Multi-document Summarization with Holistic Inference
IJCNLP 2023
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
ACL 2022
Meta-learning without data via Wasserstein distributionally-robust model fusion
UAI 2022
NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
EMNLP 2022
Salience Allocation as Guidance for Abstractive Summarization
EMNLP 2022
Towards Abstractive Grounded Summarization of Podcast Transcripts
ACL 2022
Toward Unifying Text Segmentation and Long Document Summarization
EMNLP 2022
A New Approach to Overgenerating and Scoring Abstractive Summaries
NAACL 2021
CATE: Computation-aware Neural Architecture Encoding with Transformers
ICML 2021
Better Highlighting: Creating Sub-Sentence Summary Highlights
EMNLP 2020
Controlling the Amount of Verbatim Copying in Abstractive Summarization
AAAI 2020
Joint Parsing and Generation for Abstractive Summarization
AAAI 2020
Scoring Sentence Singletons and Pairs for Abstractive Summarization
ACL 2019
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
EMNLP 2018
Structure-Infused Copy Mechanisms for Abstractive Summarization
COLING 2018