Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Core AI
Artificial Intelligence
›
Core AI
›
Foundation Models
4845 directly classified papers
Papers per year
2002: 1
2006: 1
2007: 1
2008: 1
2010: 1
2012: 2
2013: 1
2014: 1
2015: 2
2016: 7
2017: 15
2018: 49
2019: 69
2020: 123
2021: 204
2022: 243
2023: 579
2024: 1365
2025: 1819
2026: 361
Papers
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NIPS 2024
Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
NIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective
NIPS 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
NIPS 2024
Verified Code Transpilation with LLMs
NIPS 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
NIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
NIPS 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
NIPS 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NIPS 2024
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
NIPS 2024
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts
NIPS 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
NIPS 2024
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
NIPS 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles
NIPS 2024
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing
NIPS 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NIPS 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NIPS 2024
SGLang: Efficient Execution of Structured Language Model Programs
NIPS 2024
Are Large Language Models Good Statisticians?
NIPS 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
NIPS 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling
NIPS 2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
NIPS 2024
<
1
…
122
123
124
…
194
>