conftrace_

Models

16,617 papers (23 classified directly here)

Subtopics

Generative Models (7,221) Diffusion Models (4,421) Large Language Models (2,733) Variational Inference (1,952) Language Models (732) Vision-Language Models (718) Foundation Models (278) Language Modeling (77) Sequence-to-Sequence (16) Variational Autoencoders (10) Neural Radiance Fields (9) Variational Autoencoder (8)

Papers per year

2
20
62
1007
4276
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Papers (including subtopics)

TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging EMNLP 2024
Enhancing Advanced Visual Reasoning Ability of Large Language Models EMNLP 2024
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control EMNLP 2024
Aligning Language Models to Explicitly Handle Ambiguity EMNLP 2024
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning EMNLP 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners EMNLP 2024
Collaborative Performance Prediction for Large Language Models EMNLP 2024
Knowledge Verification to Nip Hallucination in the Bud EMNLP 2024
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification EMNLP 2024
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making EMNLP 2024
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? EMNLP 2024
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions EMNLP 2024
CUTE: Measuring LLMs’ Understanding of Their Tokens EMNLP 2024
Autoregressive Pre-Training on Pixels and Texts EMNLP 2024
On Training Data Influence of GPT Models EMNLP 2024
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism EMNLP 2024
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning EMNLP 2024
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL EMNLP 2024
Where is the signal in tokenization space? EMNLP 2024