Fantastic Semantics and Where to Find Them: Investigating Which Layers of Generative LLMs Reflect Lexical Semantics
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Zhu, Kong, Cunliang, Liu, Ying, Sun, Maosong |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs
por: Liu, Zhu, et al.
Publicado: (2024)
por: Liu, Zhu, et al.
Publicado: (2024)
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs
por: Liu, Zhu, et al.
Publicado: (2025)
por: Liu, Zhu, et al.
Publicado: (2025)
Fantastic Biases (What are They) and Where to Find Them
por: Barriere, Valentin
Publicado: (2024)
por: Barriere, Valentin
Publicado: (2024)
Fantastic Bugs and Where to Find Them in AI Benchmarks
por: Truong, Sang, et al.
Publicado: (2025)
por: Truong, Sang, et al.
Publicado: (2025)
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
por: Ravichander, Abhilasha, et al.
Publicado: (2025)
por: Ravichander, Abhilasha, et al.
Publicado: (2025)
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
por: Zhang, Zhenyu, et al.
Publicado: (2025)
por: Zhang, Zhenyu, et al.
Publicado: (2025)
JuniperLiu at CoMeDi Shared Task: Models as Annotators in Lexical Semantics Disagreements
por: Liu, Zhu, et al.
Publicado: (2024)
por: Liu, Zhu, et al.
Publicado: (2024)
TurboVSR: Fantastic Video Upscalers and Where to Find Them
por: Wang, Zhongdao, et al.
Publicado: (2025)
por: Wang, Zhongdao, et al.
Publicado: (2025)
Evaluating Distributed Representations for Multi-Level Lexical Semantics: A Research Proposal
por: Liu, Zhu
Publicado: (2024)
por: Liu, Zhu
Publicado: (2024)
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
por: Zhang, Pingping, et al.
Publicado: (2024)
por: Zhang, Pingping, et al.
Publicado: (2024)
Fantastic Pretraining Optimizers and Where to Find Them
por: Wen, Kaiyue, et al.
Publicado: (2025)
por: Wen, Kaiyue, et al.
Publicado: (2025)
Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them
por: Bui, Anh, et al.
Publicado: (2025)
por: Bui, Anh, et al.
Publicado: (2025)
Low-Perplexity LLM-Generated Sequences and Where To Find Them
por: Wuhrmann, Arthur, et al.
Publicado: (2025)
por: Wuhrmann, Arthur, et al.
Publicado: (2025)
OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?
por: Tamo, J. Ben, et al.
Publicado: (2026)
por: Tamo, J. Ben, et al.
Publicado: (2026)
Fantastic Flips and Where to Find Them: A General Framework for Parameterized Local Search on Partitioning Problems
por: Grüttemeier, Niels, et al.
Publicado: (2025)
por: Grüttemeier, Niels, et al.
Publicado: (2025)
Retrieval-Augmented Semantic Parsing: Improving Generalization with Lexical Knowledge
por: Zhang, Xiao, et al.
Publicado: (2024)
por: Zhang, Xiao, et al.
Publicado: (2024)
Analyzing Semantic Change through Lexical Replacements
por: Periti, Francesco, et al.
Publicado: (2024)
por: Periti, Francesco, et al.
Publicado: (2024)
Rethinking Metrics for Lexical Semantic Change Detection
por: Goworek, Roksana, et al.
Publicado: (2026)
por: Goworek, Roksana, et al.
Publicado: (2026)
Speakers Fill Lexical Semantic Gaps with Context
por: Pimentel, Tiago, et al.
Publicado: (2020)
por: Pimentel, Tiago, et al.
Publicado: (2020)
A Semantic Distance Metric Learning approach for Lexical Semantic Change Detection
por: Aida, Taichi, et al.
Publicado: (2024)
por: Aida, Taichi, et al.
Publicado: (2024)
ReFRAME or Remain: Unsupervised Lexical Semantic Change Detection with Frame Semantics
por: Phan-Tat, Bach, et al.
Publicado: (2026)
por: Phan-Tat, Bach, et al.
Publicado: (2026)
Sensitivity of Generative VLMs to Semantically and Lexically Altered Prompts
por: Dumpala, Sri Harsha, et al.
Publicado: (2024)
por: Dumpala, Sri Harsha, et al.
Publicado: (2024)
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
por: Roth, Karsten, et al.
Publicado: (2023)
por: Roth, Karsten, et al.
Publicado: (2023)
Improving Interpretability of Lexical Semantic Change with Neurobiological Features
por: Oda, Kohei, et al.
Publicado: (2026)
por: Oda, Kohei, et al.
Publicado: (2026)
Fantastic Copyrighted Beasts and How (Not) to Generate Them
por: He, Luxi, et al.
Publicado: (2024)
por: He, Luxi, et al.
Publicado: (2024)
Facts and People: Where to Find Them.
por: Hirigoyen, Maria
Publicado: (1971)
por: Hirigoyen, Maria
Publicado: (1971)
Cross-domain Chinese Sentence Pattern Parsing
por: Yu, Jingsi, et al.
Publicado: (2024)
por: Yu, Jingsi, et al.
Publicado: (2024)
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport
por: Kishino, Ryo, et al.
Publicado: (2024)
por: Kishino, Ryo, et al.
Publicado: (2024)
Scene Abstraction for Lexical Semantics: Structured Representations of Situated Meaning
por: Cho, Yejin, et al.
Publicado: (2026)
por: Cho, Yejin, et al.
Publicado: (2026)
Fusing Semantic, Lexical, and Domain Perspectives for Recipe Similarity Estimation
por: Kjorvezir, Denica, et al.
Publicado: (2026)
por: Kjorvezir, Denica, et al.
Publicado: (2026)
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
por: Wang, Zhuoer, et al.
Publicado: (2024)
por: Wang, Zhuoer, et al.
Publicado: (2024)
A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change
por: Periti, Francesco, et al.
Publicado: (2024)
por: Periti, Francesco, et al.
Publicado: (2024)
States Hidden in Hidden States: LLMs Emerge Discrete State Representations Implicitly
por: Chen, Junhao, et al.
Publicado: (2024)
por: Chen, Junhao, et al.
Publicado: (2024)
VISLA Benchmark: Evaluating Embedding Sensitivity to Semantic and Lexical Alterations
por: Dumpala, Sri Harsha, et al.
Publicado: (2024)
por: Dumpala, Sri Harsha, et al.
Publicado: (2024)
Mirror, Mirror on the Wall -- Which is the Best Model of Them All?
por: Sayed, Dina, et al.
Publicado: (2025)
por: Sayed, Dina, et al.
Publicado: (2025)
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations
por: Ilani, Roy, et al.
Publicado: (2024)
por: Ilani, Roy, et al.
Publicado: (2024)
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications
por: Baes, Naomi, et al.
Publicado: (2024)
por: Baes, Naomi, et al.
Publicado: (2024)
Enhancing Modern Supervised Word Sense Disambiguation Models by Semantic Lexical Resources
por: Melacci, Stefano, et al.
Publicado: (2024)
por: Melacci, Stefano, et al.
Publicado: (2024)
Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
por: Li, Junyi Jessy, et al.
Publicado: (2026)
por: Li, Junyi Jessy, et al.
Publicado: (2026)
Ejemplares similares
-
A Top-down Graph-based Tool for Modeling Classical Semantic Maps: A Crosslinguistic Case Study of Supplementary Adverbs
por: Liu, Zhu, et al.
Publicado: (2024) -
From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs
por: Liu, Zhu, et al.
Publicado: (2025) -
Fantastic Biases (What are They) and Where to Find Them
por: Barriere, Valentin
Publicado: (2024) -
Fantastic Bugs and Where to Find Them in AI Benchmarks
por: Truong, Sang, et al.
Publicado: (2025) -
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
por: Ravichander, Abhilasha, et al.
Publicado: (2025)