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EMNLP - 2024
Total Papers:- 1451
Total Papers accross all years:- 12236
Total Citations :- 0
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TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation
Gefei Gu |
Yilun Zhao |
Ruoxi Ning |
Yanan Zheng |
Arman Cohan |
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning
Abhinav Bandari |
Lu Yin |
Cheng-Yu Hsieh |
Ajay Kumar Jaiswal |
Tianlong Chen |
Li Shen |
Ranjay Krishna |
Shiwei Liu |
Data Contamination Can Cross Language Barriers
Feng Yao |
Yufan Zhuang |
Zihao Sun |
Sunan Xu |
Animesh Kumar |
Jingbo Shang |
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Oded Ovadia |
Menachem Brief |
Moshik Mishaeli |
Oren Elisha |
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding
Ryan Sun |
Tianyi Zhou |
Xun Chen |
Lichao Sun |
Are Large Language Models Capable of Generating Human-Level Narratives?
Yufei Tian |
Tenghao Huang |
Miri Liu |
Derek Jiang |
Alexander Spangher |
Muhao Chen |
Jonathan May |
Nanyun Peng |
LLM4Decompile: Decompiling Binary Code with Large Language Models
Hanzhuo Tan |
Qi Luo |
Jing Li |
Yuqun Zhang |
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
Ziyang Luo |
Xin Li |
Hongzhan Lin |
Jing Ma |
Lidong Bing |
Back to School: Translation Using Grammar Books
Jonathan Hus |
Antonios Anastasopoulos |
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations
Huy Nghiem |
John Prindle |
Jieyu Zhao |
Hal Daumé Iii |
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning
Xijie Huang |
Li Lyna Zhang |
Kwang-Ting Cheng |
Fan Yang |
Mao Yang |
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisions
Inderjeet Jayakumar Nair |
Jiaye Tan |
Xiaotian Su |
Anne Gere |
Xu Wang |
Lu Wang |
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing
Ifeoluwa Wuraola |
Nina Dethlefs |
Daniel Marciniak |
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
Keqin Bao |
Jizhi Zhang |
Yang Zhang |
Xinyue Huo |
Chong Chen |
Fuli Feng |
Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models
Kellen Tan Cheng |
Anna Lisa Gentile |
Pengyuan Li |
Chad DeLuca |
Guang-Jie Ren |
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