conftrace_

Resources & Methods

16,196 papers (36 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Large Language Models (9,341) Multilingual NLP (4,318) Text Representation (2,156) Lexical Semantics (710) Knowledge Editing (465) Transfer Learning (442) Prompt Engineering (128) Multimodal NLP (117) Pretraining (101)

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Papers (including subtopics)

Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization ACL 2025 Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities NAACL 2025 Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models MLHC 2025 Improving Barrett’s Oesophagus Surveillance Scheduling with Large Language Models: A Structured Extraction Approach ACL 2025 Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions ACL 2025 Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts Interspeech 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach ICLR 2025 Improving Cross Lingual Transfer by Pretraining with Active Forgetting EMNLP 2025 Improving Data Efficiency via Curating LLM-Driven Rating Systems ICLR 2025 Improving Diversity in Language Models: When Temperature Fails, Change the Loss ICML 2025 Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning IJCAI 2025 Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators AAAI 2025 Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation ACL 2025 Improving Language and Modality Transfer in Translation by Character-level Modeling ACL 2025 Improving Language Model Personas via Rationalization with Psychological Scaffolds EMNLP 2025 Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation EMNLP 2025 Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification ACL 2025 Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates EMNLP 2025 Improving LLM Abilities in Idiomatic Translation COLING 2025 Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations EMNLP 2025 Improving Model Evaluation using SMART Filtering of Benchmark Datasets NAACL 2025 Improving Model Factuality with Fine-grained Critique-based Evaluator ACL 2025 Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance IJCNLP 2025 Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations EMNLP 2025 Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study ACL 2025