Cover Image

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhuang, Chengxu, Fedorenko, Evelina, Andreas, Jacob
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
by: Zhuang, Chengxu, et al.
Published: (2023)

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
by: King, Jack, et al.
Published: (2026)

On Bilingual Lexicon Induction with Large Language Models
by: Li, Yaoyiran, et al.
Published: (2023)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
by: Hsu, I-Hung, et al.
Published: (2024)

Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
by: Ivanova, Anna A., et al.
Published: (2024)

A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
by: Malinga, Melusi, et al.
Published: (2024)

LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
by: Yong, Zheng-Xin, et al.
Published: (2024)

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
by: Wan, David, et al.
Published: (2024)

Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)

Transcoders Trace Visual Grounding and Hallucinations in Vision-Language Models
by: Damianos, Dimitrios, et al.
Published: (2026)

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
by: Li, Yaoyiran, et al.
Published: (2022)

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
by: Chuang, Yung-Sung, et al.
Published: (2023)

ExpVG: Investigating the Design Space of Visual Grounding in Multimodal Large Language Model
by: Kang, Weitai, et al.
Published: (2025)

Training Language Models to Explain Their Own Computations
by: Li, Belinda Z., et al.
Published: (2025)

(How) Do Language Models Track State?
by: Li, Belinda Z., et al.
Published: (2025)

Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
by: Yang, Shiping, et al.
Published: (2025)

Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models
by: Kauf, Carina, et al.
Published: (2024)

Approaching Human-Level Forecasting with Language Models
by: Halawi, Danny, et al.
Published: (2024)

Measuring Corporate Human Capital Disclosures: Lexicon, Data, Code, and Research Opportunities
by: Demers, Elizabeth, et al.
Published: (2025)

Evolutionary Contrastive Distillation for Language Model Alignment
by: Katz-Samuels, Julian, et al.
Published: (2024)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
by: Phan, Phuc, et al.
Published: (2024)

CELL your Model: Contrastive Explanations for Large Language Models
by: Luss, Ronny, et al.
Published: (2024)

Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
by: Puri, Isha, et al.
Published: (2026)

Policy Learning with a Language Bottleneck
by: Srivastava, Megha, et al.
Published: (2024)

Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images
by: Wu, Shengguang, et al.
Published: (2025)

Mixtures of Unsupervised Lexicon Classification
by: Wiriyathammabhum, Peratham
Published: (2024)

Ranking Large Language Models without Ground Truth
by: Dhurandhar, Amit, et al.
Published: (2024)

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
by: Man, Yunze, et al.
Published: (2024)

How do Language Models Bind Entities in Context?
by: Feng, Jiahai, et al.
Published: (2023)

Why are Visually-Grounded Language Models Bad at Image Classification?
by: Zhang, Yuhui, et al.
Published: (2024)

Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)

Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts
by: Gupta, Taneesh, et al.
Published: (2024)

Hexa: Self-Improving for Knowledge-Grounded Dialogue System
by: Jo, Daejin, et al.
Published: (2023)

Language and Experience: A Computational Model of Social Learning in Complex Tasks
by: Colas, Cédric, et al.
Published: (2025)

Evaluating Large Language Models Using Contrast Sets: An Experimental Approach
by: Sanwal, Manish
Published: (2024)

Extensive Self-Contrast Enables Feedback-Free Language Model Alignment
by: Liu, Xiao, et al.
Published: (2024)

Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)

Sequence-level Large Language Model Training with Contrastive Preference Optimization
by: Feng, Zhili, et al.
Published: (2025)

Fewer Truncations Improve Language Modeling
by: Ding, Hantian, et al.
Published: (2024)

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
by: Monea, Giovanni, et al.
Published: (2023)