Hao Peng

SimPBL: A Multi-Agent Framework for Project-Based Learning ACL 2026 Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 WildReward: Learning Reward Models from In-the-Wild Human Interactions ACL 2026 A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts ICLR 2025 Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025 Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems ACL 2025 Context Length Alone Hurts LLM Performance Despite Perfect Retrieval EMNLP 2025 Eliminating Position Bias of Language Models: A Mechanistic Approach ICLR 2025 Free Process Rewards without Process Labels ICML 2025 LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks ACL 2025 MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction COLING 2025 OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025 Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025 VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025 ADELIE: Aligning Large Language Models on Information Extraction EMNLP 2024 ActionIE: Action Extraction from Scientific Literature with Programming Languages ACL 2024 CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets ICLR 2024 Executable Code Actions Elicit Better LLM Agents ICML 2024 KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024 LETI: Learning to Generate from Textual Interactions NAACL 2024 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024 Language Models Hallucinate, but May Excel at Fact Verification NAACL 2024 MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024 MAVEN-FACT: A Large-scale Event Factuality Detection Dataset EMNLP 2024 MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback ICLR 2024 Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals EMNLP 2024 SciCode: A Research Coding Benchmark Curated by Scientists NeurIPS 2024 OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding EMNLP 2023 The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023 ABC: Attention with Bounded-memory Control ACL 2022 COPEN: Probing Conceptual Knowledge in Pre-trained Language Models EMNLP 2022 How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers EMNLP 2022 Information Extraction and Human-Robot Dialogue towards Real-life Tasks A Baseline Study with the MobileCS Dataset EMNLP 2022 MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022 Modeling Context With Linear Attention for Scalable Document-Level Translation EMNLP 2022 Twist Decoding: Diverse Generators Guide Each Other EMNLP 2022 Contextualized Perturbation for Textual Adversarial Attack NAACL 2021 Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation ICLR 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 Random Feature Attention ICLR 2021 A Mixture of h - 1 Heads is Better than h Heads ACL 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020 PaLM: A Hybrid Parser and Language Model EMNLP 2019 RNN Architecture Learning with Sparse Regularization EMNLP 2019 Backpropagating through Structured Argmax using a SPIGOT ACL 2018 Learning Joint Semantic Parsers from Disjoint Data NAACL 2018 Rational Recurrences EMNLP 2018 Deep Multitask Learning for Semantic Dependency Parsing ACL 2017