Anurag Beniwal

17 papers A* 2A 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs.
AAAI
Xiaomin Li, Zhou Yu, Ziji Zhang, Yingying Zhuang, Swair Shah, Narayanan Sadagopan, Anurag Beniwal
2026 J jnl
TRIM: Hybrid Inference via Targeted Stepwise Routing in Multi-Step Reasoning Tasks.
CoRR
Vansh Kapoor, Aman Gupta, Hao Chen, Anurag Beniwal, Jing Huang, Aviral Kumar
2025 J jnl
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training.
CoRR
Chenlu Ye, Zhou Yu, Ziji Zhang, Hao Chen, Narayanan Sadagopan, Jing Huang, Tong Zhang, Anurag Beniwal
2025 J jnl
How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting.
CoRR
Aman Gupta, Yingying Zhuang, Zhou Yu, Ziji Zhang, Anurag Beniwal
2025 J jnl
Multilingual Information Retrieval with a Monolingual Knowledge Base.
CoRR
Yingying Zhuang, Aman Gupta, Anurag Beniwal
2025 — conf
REIC: RAG-Enhanced Intent Classification at Scale.
EMNLP (Industry Track)
Ziji Zhang, Michael Yang, Zhiyu Chen, Yingying Zhuang, Shu-Ting Pi, Qun Liu, Rajashekar Maragoud, Vy Nguyen, Anurag Beniwal
2025 J jnl
REIC: RAG-Enhanced Intent Classification at Scale.
CoRR
Ziji Zhang, Michael Yang, Zhiyu Chen, Yingying Zhuang, Shu-Ting Pi, Qun Liu, Rajashekar Maragoud, Vy Nguyen, Anurag Beniwal
2025 J jnl
TOD-ProcBench: Benchmarking Complex Instruction-Following in Task-Oriented Dialogues.
CoRR
Sarik Ghazarian, Abhinav Gullapalli, Swair Shah, Anurag Beniwal, Nanyun Peng, Narayanan Sadagopan, Zhou Yu
2025 J jnl
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs.
CoRR
Xiaomin Li, Zhou Yu, Zhiwei Zhang, Xupeng Chen, Ziji Zhang, Yingying Zhuang, Narayanan Sadagopan, Anurag Beniwal
2024 J jnl
DARD: A Multi-Agent Approach for Task-Oriented Dialog Systems.
CoRR
Aman Gupta, Anirudh Ravichandran, Ziji Zhang, Swair Shah, Anurag Beniwal, Narayanan Sadagopan
2023 A conf
OutfitTransformer: Learning Outfit Representations for Fashion Recommendation.
WACV
Rohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, Gérard G. Medioni
2023 — conf
Self-supervised Pre-training and Semi-supervised Learning for Extractive Dialog Summarization.
WWW (Companion Volume)
Yingying Zhuang, Jiecheng Song, Narayanan Sadagopan, Anurag Beniwal
2022 J jnl
Contrastive Learning for Interactive Recommendation in Fashion.
CoRR
Karin Sevegnani, Arjun Seshadri, Tian Wang, Anurag Beniwal, Julian J. McAuley, Alan Lu, Gérard G. Medioni
2022 J jnl
OutfitTransformer: Learning Outfit Representations for Fashion Recommendation.
CoRR
Rohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, Gérard G. Medioni
2022 — conf
OutfitTransformer: Outfit Representations for Fashion Recommendation.
CVPR Workshops
Rohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, Gérard G. Medioni
2022 J jnl
RecXplainer: Post-Hoc Attribute-Based Explanations for Recommender Systems.
CoRR
Sahil Verma, Anurag Beniwal, Narayanan Sadagopan, Arjun Seshadri
2021 A* conf
PSANet - subspace attention for personalized compatibility.
ICDM
Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, Larry Davis