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Faeze Brahman

35 papers · 2020–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+10 more ↓ 🗺️ Taxonomy Completionist (76) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝 Dynamic Duo (20) 🧬 Topic Evolution 🔬 Deep Specialist (10) 🚀 Conference Pioneer 🔥 Unstoppable · Bronze ❓ The Questioner (3) ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (180)

Papers

AI-LieDar : Examine the Trade-off Between Utility and Truthfulness in LLM Agents NAACL 2025 Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications ACL 2025 Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback ACL 2025 Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences EMNLP 2025 Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement ICLR 2025 Agent Lumos: Unified and Modular Training for Open-Source Language Agents ACL 2024 How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models EMNLP 2024 Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model NAACL 2024 In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search EMNLP 2024 Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models ICLR 2024 MacGyver: Are Large Language Models Creative Problem Solvers? NAACL 2024 PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning ICLR 2024 Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization ACL 2024 The Art of Saying No: Contextual Noncompliance in Language Models NeurIPS 2024 The Generative AI Paradox: “What It Can Create, It May Not Understand” ICLR 2024 UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations NAACL 2024 WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NeurIPS 2024 Affective and Dynamic Beam Search for Story Generation EMNLP 2023 Generating Sequences by Learning to Self-Correct ICLR 2023 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023 REV: Information-Theoretic Evaluation of Free-Text Rationales ACL 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks NeurIPS 2023 What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations EMNLP 2023 Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation EMNLP 2022 Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations EMNLP 2022 NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization EMNLP 2022 Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach NAACL 2022 Towards Inter-character Relationship-driven Story Generation EMNLP 2022 Is Everything in Order? A Simple Way to Order Sentences EMNLP 2021 Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision AAAI 2021 “Let Your Characters Tell Their Story”: A Dataset for Character-Centric Narrative Understanding EMNLP 2021 Uncovering Implicit Gender Bias in Narratives through Commonsense Inference EMNLP 2021 Cue Me In: Content-Inducing Approaches to Interactive Story Generation AACL 2020 Modeling Protagonist Emotions for Emotion-Aware Storytelling EMNLP 2020