Papers by Xuhong Li

3 papers
Tokenization Falling Short: On Subword Robustness in Large Language Models (2024.findings-emnlp)

Copied to clipboard

Challenge: Language models typically tokenize raw text into sequences of subword identifiers from a predefined vocabulary.
Approach: They propose to tokenize raw text into sequences of subword identifiers from a predefined vocabulary . they also investigate the challenges and their impact on large language models .
Outcome: The proposed model can mitigate tokenization issues, but still suffer from typos and other variations.
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization (2024.lrec-main)

Copied to clipboard

Challenge: Existing benchmarks focus on translating English prompts to multilingual codes or have been constrained to very limited natural languages (NLs).
Approach: They propose a benchmark to evaluate multilingual LLMs using multiple natural languages.
Outcome: The proposed benchmarks focus on translating English prompts to multilingual code or have been constrained to very limited natural languages (NLs).
Knowledge Triplets Derivation from Scientific Publications via Dual-Graph Resonance (2024.lrec-main)

Copied to clipboard

Challenge: Existing relation extraction methods aim to extract explicit triplet knowledge from documents, but they can hardly perceive unobserved factual relations.
Approach: They propose a novel Extraction-Contextualization-Derivation strategy to generate a document-specific dynamic graph from a shared static knowledge graph.
Outcome: The proposed method can generate richer explicit and implicit relations under the guidance of static and dynamic knowledge topologies.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations