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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
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models
EMNLP 2023
POE: Process of Elimination for Multiple Choice Reasoning
EMNLP 2023
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models
EMNLP 2023
MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks
EMNLP 2023
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
EMNLP 2023
Harnessing Black-Box Control to Boost Commonsense in LM’s Generation
EMNLP 2023
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models
EMNLP 2023
KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction
EMNLP 2023
Multi-level Contrastive Learning for Script-based Character Understanding
EMNLP 2023
Tree Prompting: Efficient Task Adaptation without Fine-Tuning
EMNLP 2023
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models
EMNLP 2023
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts
EMNLP 2023
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
EMNLP 2023
TheoremQA: A Theorem-driven Question Answering Dataset
EMNLP 2023
Don’t Trust ChatGPT when your Question is not in English: A Study of Multilingual Abilities and Types of LLMs
EMNLP 2023
Automatic Prompt Optimization with “Gradient Descent” and Beam Search
EMNLP 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
EMNLP 2023
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications
EMNLP 2023
StructGPT: A General Framework for Large Language Model to Reason over Structured Data
EMNLP 2023
Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
EMNLP 2023
EpiK-Eval: Evaluation for Language Models as Epistemic Models
EMNLP 2023
Editing Large Language Models: Problems, Methods, and Opportunities
EMNLP 2023
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
EMNLP 2023
Learning from Mistakes via Cooperative Study Assistant for Large Language Models
EMNLP 2023
Axiomatic Preference Modeling for Longform Question Answering
EMNLP 2023
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