conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Interpretability

7,318 papers

Papers per year

Papers

An in-depth human study of the mathematical reasoning abilities in Large Language Models EMNLP 2025
Extended Abstract for “Linguistic Universals”: Emergent Shared Features in Independent Monolingual Language Models via Sparse Autoencoders EMNLP 2025
TenseLoC: Tense Localization and Control in a Multilingual LLM EMNLP 2025
Beyond Paraphrasing: Analyzing Summarization Abstractiveness and Reasoning EMNLP 2025
From Keyterms to Context: Exploring Topic Description Generation in Scientific Corpora EMNLP 2025
HalluTree: Explainable Multi-Hop Hallucination Detection for Abstractive Summarization EMNLP 2025
Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing EMNLP 2025
Not ready for the bench: LLM legal interpretation is unstable and uncalibrated to human judgments EMNLP 2025
From Disagreement to Understanding: The Case for Ambiguity Detection in NLI EMNLP 2025
NLP-ResTeam at LeWiDi-2025:Performance Shifts in Perspective Aware Models based on Evaluation Metrics EMNLP 2025
Explanations explained. Influence of Free-text Explanations on LLMs and the Role of Implicit Knowledge EMNLP 2025
Hallucinated Span Detection with Multi-View Attention Features EMNLP 2025
AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025
Connecting Concept Layers and Rationales to Enhance Language Model Interpretability EMNLP 2025
Do Large Language Models Know When Not to Answer in Medical QA? EMNLP 2025
Certain but not Probable? Differentiating Certainty from Probability in LLM Token Outputs for Probabilistic Scenarios EMNLP 2025
The Benefits of Being Uncertain: Perplexity as a Signal for Naturalness in Multilingual Machine Translation EMNLP 2025
HALLUCINOGEN: Benchmarking Hallucination in Implicit Reasoning within Large Vision Language Models EMNLP 2025
Demystify Verbosity Compensation Behavior of Large Language Models EMNLP 2025
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs EMNLP 2025
Emotionally Aware or Tone-Deaf? Evaluating Emotional Alignment in LLM-Based Conversational Recommendation Systems EMNLP 2025
Investigating Motivated Inference in Large Language Models EMNLP 2025
Targeted Source Text Editing for Machine Translation: Exploiting Quality Estimators and Large Language Models EMNLP 2025
Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs EMNLP 2025
MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task EMNLP 2025