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Methodology
← Models
Deep Learning
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Models
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Large Language Models
2678 directly classified papers
Papers per year
2014: 1
2017: 2
2018: 1
2019: 13
2020: 17
2021: 26
2022: 105
2023: 314
2024: 931
2025: 1268
Papers
Epistemology of Language Models: Do Language Models Have Holistic Knowledge?
ACL 2024
Strong hallucinations from negation and how to fix them
ACL 2024
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
ACL 2024
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits
ACL 2024
ChatMol Copilot: An Agent for Molecular Modeling and Computation Powered by LLMs
ACL 2024
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
ACL 2024
Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
ACL 2024
Faithful Persona-based Conversational Dataset Generation with Large Language Models
ACL 2024
GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification Approach
ACL 2024
Whitening Not Recommended for Classification Tasks in LLMs
ACL 2024
Integrating Table Representations into Large Language Models for Improved Scholarly Document Comprehension
ACL 2024
OSX at Context24: How Well Can GPT Tackle Contexualizing Scientific Figures and Tables
ACL 2024
TeleChat: An Open-source Billingual Large Language Model
ACL 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
NIPS 2024
Unified Lexical Representation for Interpretable Visual-Language Alignment
NIPS 2024
LLaNA: Large Language and NeRF Assistant
NIPS 2024
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
NIPS 2024
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers
NIPS 2024
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
NIPS 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NIPS 2024
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
NIPS 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
NIPS 2024
BitDelta: Your Fine-Tune May Only Be Worth One Bit
NIPS 2024
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs
NIPS 2024
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
NIPS 2024
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