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Papers
Representation Bending for Large Language Model Safety
ACL 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
ACL 2025
Representing LLMs in Prompt Semantic Task Space
EMNLP 2025
Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models
COLING 2025
REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?
ACL 2025
Reranking-based Generation for Unbiased Perspective Summarization
ACL 2025
Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
ACL 2025
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
EMNLP 2025
ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
NAACL 2025
ResearchArena: Benchmarking Large Language Models’ Ability to Collect and Organize Information as Research Agents
EMNLP 2025
Research Borderlands: Analysing Writing Across Research Cultures
ACL 2025
Research Community Perspectives on “Intelligence” and Large Language Models
ACL 2025
ReSeeding Latent States for Sequential Language Understanding
EMNLP 2025
RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models
EMNLP 2025
ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
EMNLP 2025
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
NAACL 2025
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
IJCAI 2025
Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing
EMNLP 2025
RETAIL: Towards Real-world Travel Planning for Large Language Models
EMNLP 2025
Rethinking-based Code Summarization with Chain of Comments
COLING 2025
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis
ICCV 2025
Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning
ICML 2025
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
COLING 2025
Rethinking Large Language Model Architectures for Sequential Recommendations
IJCNLP 2025
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
EMNLP 2025