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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
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
ACL 2024
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding
ACL 2024
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training
ACL 2024
Revisiting Demonstration Selection Strategies in In-Context Learning
ACL 2024
Multimodal Table Understanding
ACL 2024
Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding
ACL 2024
WatME: Towards Lossless Watermarking Through Lexical Redundancy
ACL 2024
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
ACL 2024
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
ACL 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
Dodo: Dynamic Contextual Compression for Decoder-only LMs
ACL 2024
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models
ACL 2024
Multimodal Reasoning with Multimodal Knowledge Graph
ACL 2024
PAGED: A Benchmark for Procedural Graphs Extraction from Documents
ACL 2024
JumpCoder: Go Beyond Autoregressive Coder via Online Modification
ACL 2024
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
ACL 2024
Learning to Generate Answers with Citations via Factual Consistency Models
ACL 2024
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
ACL 2024
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation
ACL 2024
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation
ACL 2024
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks
ACL 2024
XFT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
ACL 2024
Learning to Decode Collaboratively with Multiple Language Models
ACL 2024
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
ACL 2024
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
ACL 2024
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