conftrace_

Resources & Methods

16,283 papers (38 classified directly here)

Subtopics

Large Language Models (9,153) Multilingual NLP (4,621) Text Representation (2,258) Lexical Semantics (767) Knowledge Editing (459) Transfer Learning (459) Multimodal NLP (97) Prompt Engineering (93) Pretraining (77)

Papers per year

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Papers (including subtopics)

NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning EMNLP 2024
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs EMNLP 2024
Uncertainty in Language Models: Assessment through Rank-Calibration EMNLP 2024
Scaling Properties of Speech Language Models EMNLP 2024
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? EMNLP 2024
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing EMNLP 2024
Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024
Tokenization Is More Than Compression EMNLP 2024
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation EMNLP 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval EMNLP 2024
Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning EMNLP 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering EMNLP 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models EMNLP 2024
A Survey on In-context Learning EMNLP 2024
LLMs Are Zero-Shot Context-Aware Simultaneous Translators EMNLP 2024
AgentReview: Exploring Peer Review Dynamics with LLM Agents EMNLP 2024
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval EMNLP 2024
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation EMNLP 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps EMNLP 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024