Skip to content
conftrace_

large language model

14,686 papers

Explore in graph

Also known as

LLM LLMS

Co-occurring keywords · papers mentioning both

in-context learning (789) question answering (737) zero-shot learning (717) benchmark evaluation (705) prompt engineering (705) retrieval-augmented generation (672) text generation (668) multimodal learning (651) text classification (646) few-shot learning (636)

Papers

Retrieval of Temporal Event Sequences from Textual Descriptions NAACL 2025 RetrieverGuard: Empowering Information Retrieval to Combat LLM-Generated Misinformation NAACL 2025 Retrieving Support to Rank Answers in Open-Domain Question Answering EMNLP 2025 Retriv at BLP-2025 Task 2: Test-Driven Feedback-Guided Framework for Bangla-to-Python Code Generation AACL 2025 Retrofitting Large Language Models with Dynamic Tokenization ACL 2025 Retrospective Learning from Interactions ACL 2025 RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation? ACL 2025 Reveal and Release: Iterative LLM Unlearning with Self-generated Data EMNLP 2025 Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing EMNLP 2025 Revealing the Barriers of Language Agents in Planning NAACL 2025 Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up ACL 2025 Reverse Modeling in Large Language Models NAACL 2025 Reverse Preference Optimization for Complex Instruction Following ACL 2025 Reverse Thinking Makes LLMs Stronger Reasoners NAACL 2025 RevieWeaver: Weaving Together Review Insights by Leveraging LLMs and Semantic Similarity NAACL 2025 Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models ACL 2025 ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification ICML 2025 ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos CVPR 2025 Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning before Coding? ICML 2025 Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot EMNLP 2025 Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability ACL 2025 Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models’ Uncertainty? ACL 2025 Revisiting Implicitly Abusive Language Detection: Evaluating LLMs in Zero-Shot and Few-Shot Settings COLING 2025 Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective COLING 2025 Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models ACL 2025