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Showing papers from Indian Institute of Technology, Delhi Show all papers

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AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting

Siddharthan Dileep, Sanchit Bedi, Pareshbhai D Parmar, Ayush Maheshwari and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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Safe Offline Reinforcement Learning using Behavior Regularisation and Latent Feasibility-Guidance

Mahesh Keswani, Parth Bhardwaj, Ankur Kumar, Raunak Pushpak Bhattacharyya

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
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Ballad: Bandit-Based LLM Routing for Automated Heuristic Discovery

Samidha Verma, Ankit Anand, Sayan Ranu

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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SC$^3$: A Multi-Solvent Solubility Challenge and Benchmark

Vansh Ramani, Tarak Karmakar, Sayan Ranu, Dhairya Kuchhal and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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57%Worth a look
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ProbMedTOD: A Bayesian Network Guided Task-Oriented Dialogue System for Patient History Taking

Vishal Vivek Saley, Bhavesh Gurnani, Dinesh Raghu, Mausam

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Independent Latents, Robust Neural Operators

Jay Yoo, Kazuma Kobayashi, Jaewan Park, Sai puppala and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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91%Must read
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Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models

CaRE-KD uses confidence-gated adaptive divergence and batch-level rejection to improve LLM distillation, boosting instruction-following, coding, and math benchmarks over strong baselines.

Ayan Sengupta, Vaibhav Seth, Tanmoy Chakraborty

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5
76%Highly rated
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Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery

Agentic AI scientists serve as co-scientists but lack autonomous discovery due to flawed problem selection, missing tacit lab knowledge, compressed diversity, and inadequate benchmarks.

Harshit Bisht, Vinay Kumar, Kevin Maik Jablonka, Mausam and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5